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### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.5 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none' Using multi-agent simulation and learning to design new business processesBusiness process modeling, analysis, and then redesign are the central task in the efforts of reengineering business processes. Frequently reviewing and promptly changing business processes to adapt to new business environment is the key to maintain agility under the competitive global market. It is imperative to enhance the adaptability of business processes. This paper proposes a multi-agent information system (MAIS) based on Swarm, a multi-agent simulation platform, to simulate business processes, and incorporate reinforcement learning to obtain better process adaptability. The resulting system, called BPSLS, is elaborated and evaluated by the order fulfillment process in supply chain networks. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Gradient descent algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.6 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Global supply chain management: A reinforcement learning approachIn recent years, researchers and practitioners alike have devoted a great deal of attention to supply chain management (SCM). The main focus of SCM is the need to integrate operations along the supply chain as part of an overall logistic support function. At the same time, the need for globalization requires that the solution of SCM problems be performed in an international context as part of what we refer to as Global Supply Chain Management (GSCM). This paper proposes an approach to study GSCM problems using an artificial intelligence framework called reinforcement learning (RL). The RL framework allows the management of global supply chains under an integration perspective. The RL approach has remarkable similarities to that of an autonomous agent network (AAN); a similarity that we shall discuss. The RL approach is applied to a case example, namely a networked production system that spans several geographic areas and logistics stages. We discuss the results and provide guidelines and implications for practical applications. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: SMART algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.7 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Inventory management in supply chains: A reinforcement learning approachA major issue in supply chain inventory management is the coordination of inventory policies adopted by different supply chain actors, such as suppliers, manufacturers, distributors, so as to smooth material flow and minimize costs while responsively meeting customer demand. This paper presents an approach to manage inventory decisions at all stages of the supply chain in an integrated manner. It allows an inventory order policy to be determined, which is aimed at optimizing the performance of the whole supply chain. The approach consists of three techniques: (i) Markov decision processes (MDP) and (ii) an artificial intelligent algorithm to solve MDPs, which is based on (iii) simulation modeling. In particular, the inventory problem is modeled as an MDP and a reinforcement learning (RL) algorithm is used to determine a near optimal inventory policy under an average reward criterion. RL is a simulation-based stochastic technique that proves very efficient particularly when the MDP size is large. \textcopyright 2002 Elsevier Science B.V. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: SMART algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.8 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Distributed decision making in supply chain managementThe paper identifies different classes of distributed decision making problems in supply chain management. Since, these problem classes have been developed in various sciences like applied mathematics, operations research, economics and artificial intelligence, the paper gives a systematic overview as to the specific contribution each single science is providing, particularly indicating possible synergies. Moreover, it points to those distributed decision-making problems that prove to be of major relevance for supply chain management. \textcopyright 2002 Elsevier Science B.V. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: None

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.9 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Minimisation of supply chain cost with embedded risk using computational intelligence approachesGlobal supply chains are vulnerable towards different types of risks and are dynamically expanding with the increase in globalisation. Costs are associated with every risk factor that causes disturbances in the allocation of certain goods at the required place and time, and with the required quality and quantity. In this paper, we consider a multi-echelon global supply chain model, where raw material suppliers, manufacturers, warehouses and markets are located in different countries. The paper first identifies all types of operational risk factors, their expected value and probability of occurrence, and associated additional cost. Based on initial information for the risk factors, optimal decisions regarding the inter-echelon quantity flow in the supply chain are made for a single planning horizon. Then, with the change in the expected value of the risk factors, the intra-echelon shift of flow is determined in order to minimise the total cost and risk factors. Considering the complexity involved with the problem, various computational intelligence techniques such as genetic algorithms, particle swarm optimisation and artificial bee colony are applied in the solution evaluation phase. The results obtained using the developed model illustrate that the ability to react to changes in risk factors offers potential solutions to robust supply chain design. \textcopyright 2010 Taylor & Francis. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.10 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Normative agent-based simulation for supply chain planningThis paper presents an agent-based simulation framework for supply chain (SC) planning, introducing the notion of normative agent. The analysis of the relevant literature shows that most research works carried out in this area aim to handle specific problems and contexts. Although some methodologies and more generic solutions have been proposed, they are not able to cope with SCs in which regulation plays an important role, whether issued by a government agent or by an international institution. Several SCs, such as in the energy, food, chemical, and forestry areas, are highly regulated. Explicitly modelling the actors involved in the regulation of SCs using normative agents allowed us to evaluate the potential benefits of alternative strategies for planning of regulated SCs. The modelling of a biodiesel SC is presented as a case study. \textcopyright 2011 Operational Research Society Ltd. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: ANN

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.11 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Vehicle routing problem with time windows considering overtime and outsourcing vehiclesThe vehicle routing problem with time windows (VRPTW) is an important problem in third-party logistics and supply chain management. We extend the VRPTW to the VRPTW with overtime and outsourcing vehicles (VRPTWOV), which allows overtime for drivers and the possibility of using outsourced vehicles. This problem can be applied to third-party logistics companies for managing central distributor-local distributors, local distributor-retailers (or customers), and manufacturers. We developed a mixed integer programming model, a genetic algorithm (GA), and a hybrid algorithm based on simulated annealing. The computational results demonstrate the efficiency of the developed algorithms. We also develop a decision support system for the VRPTWOV that is equipped with a vehicle route rescheduling function for realistic situations based on the GA. \textcopyright 2012 Elsevier Ltd. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.12 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Applying an adaptive tabu search algorithm to optimize truck-dock assignment in the crossdock management systemDifferent from warehouse, crossdock is considered as a JIT technique in logistics and supply chain management (LSCM), which is usually a short period of time to store cargos. Since cargos transported to a crossdock by inbound trucks are immediately sorted out, repackaged, routed and loaded into outbound trucks and then delivered to customers within one day, one of the key issues to operate crossdock successfully is to develop an efficient truck-dock assignment module in the crossdock management system so that all the cargos can be delivered to customers on time. In this paper, we propose an adaptive tabu search (ATS) algorithm as an artificial intelligence (AI) tool to optimize the truck-dock assignment problem within a crossdock in a very efficient way, and computational experiments are conducted, showing that our approach dominates the CPLEX Solver in both effectiveness and efficiency. \textcopyright 2013 Elsevier Ltd. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Adaptive tabu search algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.13 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Decision support in hierarchical planning systems: The case of procurement planning in oil refining industriesIn this paper, we discuss the development of decision support systems for hierarchically structured planning approaches, such as commercially available advanced planning systems. We develop a framework to show how such a decision support system can be designed with the existing organization in mind, and how a decision process and corresponding software can be developed from this basis. Building on well-known hierarchical planning concepts, we include the typical anticipation mechanisms used in such systems to be able to decompose planning problems, both from the perspective of the planning problem and from the perspective of the organizational aspects involved. To exemplify and develop our framework, we use a case study of crude oil procurement planning in the refining industry. The results of the case study indicate an improved organizational embedding of the DSS, leading to significant savings in terms of planning efforts and procurement costs. In general, our framework aims to support the continuous improvement of advanced planning systems, increasing planning quality in complex supply chain settings. \textcopyright 2014 Elsevier B.V. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: None

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.14 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Operational planning models for distribution networksThe design and optimisation of a logistic network deals with a wide set of decisions, e.g. the determination of the best location and capacity of the different logistic facilities (production plants, distribution centres, transit points, wholesalers, etc.), the allocation of the product demand coming from customers in presence (or absence) of fractionable flows of material, the determination of the best transportation mode (truck, rail, etc.) as well as loading and routing of vehicles. These decisions involve multiple stages of a distribution network: customers-regional distribution centres (RDC), RDCs-central distribution centres (CDC) and CDCs-production plants and sources, in presence of multiple products and the variable time (i.e. time-dependent product demand and flows of material). This paper presents a top-down methodology that joins the strategic planning, the tactical planning and the operational planning of distribution networks with a special focus on the development of effective heuristic methods to face the vehicle routing problem. Original models and heuristic algorithms for the operational planning are illustrated. The impact of the strategic and tactical decisions on the performance of the operational planning is evaluated by the application of the proposed hierarchical approach to two realistic case studies. Obtained results are illustrated in a what-if experimental analysis conducted on multiple problem settings and realistic scenarios. \textcopyright 2013 Taylor & Francis. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Nearest neighbor

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.15 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Inventory management maximization based on sales forecast: Case studyThe major purpose of this paper is to present a concept for reliable planning of the sales of small firms, where the large number of product variants complicates the implementation of this kind of system considerably. First, a methodology is presented to set up sales forecasting so that it can be integrated into the inventory management process. This inventory management software interprets forecasting information and provides users with a decision support system to minimize stocks in stores while at the same time avoiding missed sales. It is best applied in company types requiring high precision inventories, notably those in the textile industry; a large range of patterns are produced with many small variations (colors, size, customizations, etc.) and these products have a limited lifetime. Inventory management is difficult due to the multitude of products to account for and the necessity to sell them quickly. The methodology is intended for inventory management at the end of the supply chain. In store, the number of references, their similarities and the necessity to minimize unsold stock greatly complicates the reordering and restocking process. These types of companies do not easily lend themselves to classic techniques of sales forecasting and require specialized methods to estimate their needs precisely. \textcopyright 2013 Taylor and Francis. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: AI algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.16 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industryIn recent years, food supply chains have faced increased quality risk, caused by the extended global supply chain and increased consumer demands on quality and safety. Given the concern regarding quality sustainability in the food supply chain, much attention is being paid to continuous planning and monitoring of quality assurance practices in the supply chain network. In this research, we propose a supply chain quality sustainability decision support system (QSDSS), adopting association rule mining and Dempster's rule of combination techniques. The aim of QSDSS is to support managers in food manufacturing firms to define good logistics plans in order to maintain the quality and safety of food products. We conduct a case study of a Hong Kong red wine company in order to illustrate the applicability and effectiveness of QSDSS. Implications of the proposed approach are discussed, and suggestions for future work are outlined. \textcopyright 2013 Elsevier B.V. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Association rule mining

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.17 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Value creation through collaborative supply chain: Holistic performance enhancement road mapThis paper proposes an integrated novel framework between B2B-SCM using data mining techniques such as K-Means based on particle swarm intelligence (particle swarm optimisation) and association rule. It constructs relationship rules of holistic performance enhancement road map. The data-set of relationships between enterprise and its direct customers of the case study organisations in France was used for demonstration. The experiment results show how domain managers powerfully utilise the graphical analysis results to provide the holistic performance improvement and weakness resolution relationship rules. In the long run, organisations are able to use this framework to design and adjust their units to conform the exact customer needs. This paper introduces and explains a new idea of measuring value added along the supply chain from a collaborative perspective. The extended model is adapted from our previous model and from balanced scorecard model. It provides a tool to measure tangible and intangible value between partners. \textcopyright 2013 Taylor and Francis. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Particle swarm intelligence

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.18 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Predicting open IOS adoption in SMEs: An integrated SEM-neural network approachThis research examines the predictors of open interorganizational systems (IOS) adoption by using RosettaNet as a case study. The model used in this research derived its theoretical supports from literature related to interorganizational relationships and knowledge management studies. A sequential, multi-method approach integrating both structural equation modeling (SEM) and neural network analysis was employed in this research. Data was collected from 136 small and medium sized enterprises (SME). Our result showed that interorganizational relationships such as communication, collaboration and information sharing play an important role in SMEs' RosettaNet adoption decisions. Knowledge management practices such as knowledge application, knowledge acquisition and knowledge dissemination also influenced SMEs' decision to adopt RosettaNet. The findings are useful for decision makers to understand how they can improve the adoption of RosettaNet in their organizations. Unlike previous studies, this research provided additional insights into what influence the adoption of RosettaNet by examining variables beyond the traditional technological attributes which have been studied quite extensively. By integrating SEM with artificial intelligence techniques such as neural network, this study also examined the non-linear and non-compensatory relationships involved in the adoption of RosettaNet. \textcopyright 2013 Elsevier Ltd. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: ANN

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.19 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environmentsIntegrated supplier selection and order allocation is an important decision for both designing and operating supply chains. This decision is often influenced by the concerned stakeholders, suppliers, plant operators and customers in different tiers. As firms continue to seek competitive advantage through supply chain design and operations they aim to create optimized supply chains. This calls for on one hand consideration of multiple conflicting criteria and on the other hand consideration of uncertainties of demand and supply. Although there are studies on supplier selection using advanced mathematical models to cover a stochastic approach, multiple criteria decision making techniques and multiple stakeholder requirements separately, according to authors' knowledge there is no work that integrates these three aspects in a common framework. This paper proposes an integrated method for dealing with such problems using a combined Analytic Hierarchy Process-Quality Function Deployment (AHP-QFD) and chance constrained optimization algorithm approach that selects appropriate suppliers and allocates orders optimally between them. The effectiveness of the proposed decision support system has been demonstrated through application and validation in the bioenergy industry. \textcopyright 2015 Elsevier B.V. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: AI algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.20 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Decision support system for vendor managed inventory supply chain: A case studyVendor-managed inventory (VMI) is a widely used collaborative inventory management policy in which manufacturers manages the inventory of retailers and takes responsibility for making decisions related to the timing and extent of inventory replenishment. VMI partnerships help organisations to reduce demand variability, inventory holding and distribution costs. This study provides empirical evidence that significant economic benefits can be achieved with the use of a genetic algorithm (GA)-based decision support system (DSS) in a VMI supply chain. A two-stage serial supply chain in which retailers and their supplier are operating VMI in an uncertain demand environment is studied. Performance was measured in terms of cost, profit, stockouts and service levels. The results generated from GA-based model were compared to traditional alternatives. The study found that the GA-based approach outperformed traditional methods and its use can be economically justified in small- and medium-sized enterprises (SMEs). \textcopyright 2014 Taylor & Francis. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.21 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environmentGlobal manufacturing companies have some pressing needs to improve production visibility and decision-making performance by implementing effective production monitoring and scheduling. This paper proposes a radio frequency identification (RFID)-based intelligent decision support system architecture to handle production monitoring and scheduling in a distributed manufacturing environment. A pilot implementation of the architecture is reported in a distributed clothing manufacturing environment. RFID and cloud technologies were integrated for real-time and remote production capture and monitoring. Intelligent optimization techniques were also implemented to generate effective production scheduling solutions. A prototype system with remote monitoring and production scheduling functions was developed and implemented in a distributed manufacturing environment, which demonstrated the effectiveness of the architecture. The proposed architecture has good extensibility and scalability, which can easily be integrated with production decision-making as well as production and logistics operations in the supply chain. Lastly, this paper discusses the difficulties encountered and lessons learned during system implementation and the managerial implications of the proposed architecture. \textcopyright 2014 Elsevier B.V. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Intelligent optimization algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.22 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Multi-objective optimization for sustainable supply chain network design considering multiple distribution channelsThe emergence of Omni-channel has affected the practical design of the supply chain network (SCN) with the purpose of providing better products and services for customers. In contrast to the conventional SCN, a new strategic model for designing SCN with multiple distribution channels (MDCSCN) is introduced in this research. The MDCSCN model benefits customers by providing direct products and services from available facilities instead of the conventional flow of products and services. Sustainable objectives, i.e., reducing economic cost, enlarging customer coverage and weakening environmental influences, are involved in designing the MDCSN. A modified multi-objective artificial bee colony (MOABC) algorithm is introduced to solve the MDCSCN model, which integrates the priority-based encoding mechanism, the Pareto optimality and the swarm intelligence of the bee colony. The effect of the MDCSCN model are examined and validated through numerical experiment. The MDCSCN model is innovative and pioneering as it meets the latest requirements and outperforms the conventional SCN. More importantly, it builds the foundation for an intelligent customer order assignment system. The effectiveness and efficiency of the MOABC algorithm is evaluated in comparison with the other popular multi-objective meta-heuristic algorithm with promising results. \textcopyright 2016 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Multi-objective artificial bee colony

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.23 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Sustainable supplier management - A review of models supporting sustainable supplier selection, monitoring and developmentIn the last two decades, pressure from various stakeholders has forced many companies to establish environmental and social improvements both in their company and their supply chains. The growing number of journal publications and conference proceedings confirms this change also in academia. The aim of this paper is to analyse and review scientific literature on sustainable supplier management (SSM) with a focus on formal models supporting decision-making in sustainable supplier selection, monitoring and development. For this purpose, a framework on SSM is proposed and a comprehensive content analysis including a criteria analysis is carried out. Beyond this, in total 143 peer-reviewed publications between 1997 and 2014 have been analysed to identify both established and overlooked research fields. Major findings are the rapidly growing interest of this topic in academia in recent years, the predominance of Analytic Hierarchy Process, Analytic Network Process and fuzzy-based approaches, the focus on the final evaluation and selection process step and the rare investigation of social and quantitative metrics. This review may be useful for practitioners and scientists as it outlines major characteristics in this field, which can serve as a basis for further research. \textcopyright 2015 Taylor & Francis. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: AI algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.24 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Forecasting supply chain sporadic demand with nearest neighbor approachesOne of the biggest challenges in Supply Chain Management (SCM) is to forecast sporadic demand. Our forecasting methods' arsenal includes Croston's method, SBA and TSB as well as some more recent non-parametric advances, but none of these can identify and extrapolate patterns existing in data; this is essential as these patterns do appear quite often, driven by infrequent but nevertheless repetitive managerial practices. One could claim such patterns could be picked up by Artificial Intelligence approaches, however these do need large training datasets, unfortunately non-existent in industrial time series. Nearest neighbors (NN) can however operate in these latter contexts, and pick up patterns even in short series. In this research we propose applying NN for supply chain data and we investigate the conditions under which these perform adequately through an extensive simulation. Furthermore, via an empirical investigation in automotive data we provide evidence that practitioners could benefit from employing supervised NN approaches. The contribution of this research is not in the development of a new theory, but in the proposition of a new conceptual framework that brings existing theory (i.e. NN) from Computer Science and Statistics and applies it successfully in an SCM setting. \textcopyright 2016 Elsevier B.V. All rights reserved. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Nearest neighbor

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.25 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A hybrid adaptive decision system for supply chain reconfigurationDue to short product life cycle, it is expedient to reconfiguration an existing supply chain from time to time. Companies need to impose the standards on operational units for finding the best or the near best alternative configuration. Thus, it becomes imperative to effectively adapt various enablers in a supply chain by understanding the dynamics between them that help to reconfigure a supply chain for high levels of performance. This paper presents an integration of agent-based simulation and decision tree learning as the data mining techniques to determine adaptive decisions of operational units of a mobile phone supply chain. Agent-based simulation output is subjected to data mining analysis to understand system behaviour in terms of interactions and the factors influencing the performance. An entropy-based formulation is proposed as the basis for comparing different operational units in the supply chain. The insights obtained are then encapsulated as operational rules and guidelines supporting better decision-making. \textcopyright 2016 Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Decision tree

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.26 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A multi-objective intelligent water drop algorithm to minimise cost Of goods sold and time to market in logistics networksThe Intelligent Water Drop (IWD) algorithm is inspired by the movement of natural water drops (WD) in a river. A stream can find an optimum path considering the conditions of its surroundings to reach its ultimate goal, which is often a sea. In the process of reaching such destination, the WD and the environment interact with each other as the WD moves through the river bed. Similarly, the supply chain problem can be modelled as a flow of stages that must be completed and optimised to obtain a finished product that is delivered to the end user. Every stage may have one or more options to be satisfied such as suppliers, manufacturing or delivery options. Each option is characterised by its time and cost. Within this context, multi?�objective optimisation approaches are particularly well suited to provide optimal solutions. This problem has been classified as NP hard; thus, this paper proposes an approach aiming to solve the logistics network problem using a modified multi?�objective extension of the IWD which returns a Pareto set. Artificial WD, flowing through the supply chain, will simultaneously minimise the cost of goods sold and the lead time of every product involved by using the concept of Pareto optimality. The proposed approach has been tested over instances widely used in literature yielding promising results which are supported by the performance measurements taken by comparison to the ant colony meta-heuristic as well as the true fronts obtained by exhaustive enumeration. The Pareto set returned by IWD is computed in 4 s and the generational distance, spacing, and hyper?�area metrics are very close to those computed by exhaustive enumeration. Therefore, our main contribution is the design of a new algorithm that overcomes the algorithm proposed by Moncayo-Martínez and Zhang (2011). This paper contributes to enhance the current body of knowledge of expert and intelligent systems by providing a new, effective and efficient IWD-based optimisation method for the design and configuration of supply chain and logistics networks taking into account multiple objectives simultaneously. \textcopyright 2016 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Artificial WD

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.27 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Resolving forward-reverse logistics multi-period model using evolutionary algorithmsIn the changing competitive landscape and with growing environmental awareness, reverse logistics issues have become prominent in manufacturing organizations. As a result there is an increasing focus on green aspects of the supply chain to reduce environmental impacts and ensure environmental efficiency. This is largely driven by changes made in government rules and regulations with which organizations must comply in order to successfully operate in different regions of the world. Therefore, manufacturing organizations are striving hard to implement environmentally efficient supply chains while simultaneously maximizing their profit to compete in the market. To address the issue, this research studies a forward-reverse logistics model. This paper puts forward a model of a multi-period, multi-echelon, vehicle routing, forward-reverse logistics system. The network considered in the model assumes a fixed number of suppliers, facilities, distributors, customer zones, disassembly locations, re-distributors and second customer zones. The demand levels at customer zones are assumed to be deterministic. The objective of the paper is to maximize the total expected profit and also to obtain an efficient route for the vehicle corresponding to an optimal/near optimal solution. The proposed model is resolved using Artificial Immune System (AIS) and Particle Swarm Optimization (PSO) algorithms. The findings show that for the considered model, AIS works better than the PSO. This information is important for a manufacturing organization engaged in reverse logistics programs and in running units efficiently. This paper also contributes to the limited literature on reverse logistics that considers costs and profit as well as vehicle route management. \textcopyright 2016 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Artificial immune systems

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.28 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Risk control for staff planning in e-commerce warehousesInternet sale supply chains often need to fulfil quickly small orders for many customers. The resulting high demand and planning uncertainties pose new challenges for e-commerce warehouse operations. Here, we develop a decision support tool to assist managers in selecting appropriate risk policies and making staff planning decisions in uncertain conditions. Multistage stochastic modelling has been used to analyse risk optimisation approaches and expected value-based optimisation. Exhaustive numerical and practical validations have been performed to test the tool's applicability. We demonstrate, using a Dutch e-commerce warehouse, that the multi-period conditional value at risk appears to be most applicable. \textcopyright 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.29 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Risk Assessment of Deliberate Contamination of Food Production FacilitiesThe deliberate contamination of food is well recognized as a major public health threat. A food supply chain offers several possible targets for the intentional insertion of a biological or chemical toxin by a perpetrator, which can result in significant morbidity and mortality. We assume that both manager (defender) of the food production facility and perpetrator (attacker) select actions at each of a possibly countable number of decision epochs, based on possibly inaccurate real-time observations of the other agent. The defender's objectives are to maximize long-run expected total discounted system productivity and to minimize the long-run expected total discounted consequence of an attack. The attacker's objective is to maximize its reward, which combines the long-run expected total discounted consequence of an attack with a penalty if the attack is unsuccessful. We model this problem as a leader-follower, two-agent partially observed Markov game. We show that system risk is dynamic, determine the impact of observation accuracy on facility productivity and risk, thus providing a measure of the value of information, and perform a sensitivity analysis on key parameters. We present an illustrative example involving a liquid egg production system. \textcopyright 2013 IEEE. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.30 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Optimisation of partial collaborative transportation scheduling in supply chain management with 3PL using ACOIn this paper, we study and analyze the characteristics of transportation vehicle scheduling problem in supply chain management with third party logistics enterprise. First, we subdivide all the transportation nodes into three distinct classifications. A novel partial collaborative transportation scheduling strategy is proposed based on two special kinds of transportation nodes which have integrated the self-support vehicle and 3PL vehicle resource. Then, depending on the transport mode of each kind of transportation nodes, a modified Ant Colony Optimization with negative selection operation (ACO-nso) with varying dimension matrix encoding and modified transition probability operation method has been presented. Finally, the simulative results demonstrate that the proposed approach is practical and efficient. \textcopyright 2016 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: AI algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.31 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A two-stage supply chain problem with fixed costs: An ant colony optimization approachThis paper focuses on a distribution-allocation problem in a two-stage supply chain with fixed costs. The problem is intended to determine a supply chain configuration of manufacturing plants, distributors, and retailers in the distribution network. The problem is formulated as an integer-programming model. The mathematical model incorporates unit transportation costs between entities and two types of fixed costs, including fixed cost for transportation routes and fixed cost for opening facilities. The objective of the model is to minimise the total costs of supply chain operation incurred in allocating the retailers to a distribution centre and the distribution centres to a manufacturing plant. An Ant Colony Optimization (ACO)-based heuristic is developed for solving the model. The heuristic is tested on various problem sizes generated. All the problem instances are solved using solver LINGO to evaluate the robustness of the ACO-based algorithm. The ACO-based heuristic emerges as a computationally efficient algorithm. Solutions can be obtained using the ACO-based heuristic within a reasonable computational time with a gap of about 10% on average from the optimal solutions. \textcopyright 2018 Elsevier B.V. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Particle swarm Optimization

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.32 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A reliable decision support system for fresh food supply chain managementThe paper proposes a decision support system (DSS) for the supply chain of packaged fresh and highly perishable products. The DSS combines a unique tool for sales forecasting with order planning which includes an individual model selection system equipped with ARIMA, ARIMAX and transfer function forecasting model families, the latter two accounting for the impact of prices. Forecasting model parameters are chosen via two alternative tuning algorithms: a two-step statistical analysis, and a sequential parameter optimisation framework for automatic parameter tuning. The DSS selects the model to apply according to user-defined performance criteria. Then, it considers sales forecasting as a proxy of expected demand and uses it as input for a multi-objective optimisation algorithm that defines a set of non-dominated order proposals with respect to outdating, shortage, freshness of products and residual stock. A set of real data and a benchmark?�based on the methods already in use?�are employed to evaluate the performance of the proposed DSS. The analysis of different configurations shows that the DSS is suitable for the problem under investigation; in particular, the DSS ensures acceptable forecasting errors and proper computational effort, providing order plans with associated satisfactory performances. \textcopyright 2017 Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.33 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Identifying industrial clusters with a novel big-data methodology: Are SIC codes (not) fit for purpose in the Internet age?In this paper we propose using a novel big-data-mining methodology and the Internet as a new source of useful meta-data for industry classification. The proposed methodology can be utilised as a decision support system for identifying industrial clusters in almost real time in a specific geographic region, contributing to strategic co-operation and policy development for operations and supply chain management across organisational boundaries through big data analytics. Our theoretical discussion on discerning industrial activity of firms in geographical regions starts by highlighting the limitations of the Standard Industrial Classification (SIC) codes. This discussion is followed by the proposed methodology, which has three main steps revolving around web-based data collection, pre-processing and analysis, and reporting of clusters. We discuss each step in detail, presenting the experimental approaches tested. We apply our methodology to a regional case, in the North East of England, in order to demonstrate how such a big data decision support system/analytics can work in practice. Implications for theory, policy and practice are discussed, as well as potential avenues for further research. \textcopyright 2017 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Clustering

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.34 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Powering retailers' digitization through analytics and automationRetailers face significant pressure to improve revenue, margins and market share by applying price optimisation models. These are mathematical models that calculate how demand varies at different price levels, then combine that data with information on costs and inventory levels to recommend prices that will improve revenue and profits. These models have been around for a while-so what is different now? We have identified three important changes: (1) Data: availability of internal and external real-time data such as traffic to a website, consumers making buy/no buy decisions and competitor pricing strategies; (2) Analytics: advances in machine learning and ease of access (R, Python) have enabled the development of systems that learn on the fly about consumer behaviour and preferences and generate effective estimates of demand-price relationships; and (3) Automation: increase in computing speed enables real-time optimisation of prices of hundreds of competing products sold by the same retailer. We take advantage of these new opportunities by showing how they were applied at Boston-based flash sales retailer Rue La La, online market maker Groupon, and the largest online retailer in Latin America, B2W Digital (B2W). While all these examples are of on-line businesses which have readily available data and can change prices dynamically, we have also implemented similar methods for brick-and-mortar retailed in applications such as promotional pricing, new product introduction, and assortment optimisation with similar business impacts. Thus, beyond applications to price optimisations, these new trends enable companies to revolutionise their business from procurement to supply chain all the way to revenue management. \textcopyright 2017 Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Regression trees

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.35 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Smart manufacturingManufacturing has evolved and become more automated, computerised and complex. In this paper, the origin, current status and the future developments in manufacturing are disused. Smart manufacturing is an emerging form of production integrating manufacturing assets of today and tomorrow with sensors, computing platforms, communication technology, control, simulation, data intensive modelling and predictive engineering. It utilises the concepts of cyber-physical systems spearheaded by the internet of things, cloud computing, service-oriented computing, artificial intelligence and data science. Once implemented, these concepts and technologies would make smart manufacturing the hallmark of the next industrial revolution. The essence of smart manufacturing is captured in six pillars, manufacturing technology and processes, materials, data, predictive engineering, sustainability and resource sharing and networking. Material handling and supply chains have been an integral part of manufacturing. The anticipated developments in material handling and transportation and their integration with manufacturing driven by sustainability, shared services and service quality and are outlined. The future trends in smart manufacturing are captured in ten conjectures ranging from manufacturing digitisation and material-product-process phenomenon to enterprise dichotomy and standardisation. \textcopyright 2017 Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Data mining algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.36 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Supply chain decision support systems based on a novel hierarchical forecasting approachTime series forecasting plays an important role in many decision support systems, also in those related to the management of supply chains. Forecast accuracy is, therefore, essential to optimise the efficiency of any supply chain. One aspect that is often overlooked is the fact that sales of many products within an organization are assembled as complex hierarchies with different levels of aggregation. Very often forecasts are produced regardless of such structure, though forecasting accuracy may be improved by taking it into account. In this paper, an approach for hierarchical time series forecasting based on State Space modelling is proposed. Previous developments provide solutions to the hierarchical forecasting problem by algebra manipulations based on forecasts produced by independent models for each time series involved in the hierarchy. The solutions produce optimal reconciled forecasts for each individual forecast horizon, but the link along time that is implied by the dynamics of the models is completely ignored. Therefore, the novel approach in this paper improves upon past research at least in two key points. Firstly, the algebra is already encoded in the State Space system and the Kalman Filter algorithm, giving an elegant and clean solution to the problem. Secondly, the State Space approach is optimal both across the hierarchy, as expected, but also along time, something missing in past developments. The approach is assessed by comparing its forecasting performance to the existing methods, through simulations and using real data of a Spanish grocery retailer. \textcopyright 2018 could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Kalman filter

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.37 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Designing a sustainable supply chain network integrated with vehicle routing: A comparison of hybrid swarm intelligence metaheuristicsRecently, a growing concern with sustainability has become a consideration in business operations. However, there is a lack of mathematical models that quantify environmental effects and, in particular, social impacts of supply chains because of the inherently subjective nature of these aspects. To fill this gap, this paper models a distribution network in which the triple bottom lines of sustainability are captured. Different impacts of the network on the stakeholders, including company owners, workers, consumers and society, are considered as whole. In the current model, a multi-product vehicle routing problem with time windows (MPVRPTW) as an operational decision is integrated with strategic decisions related to the network design. To solve this model, three hybrid swarm intelligence techniques (particle swarm optimization (PSO), electromagnetism mechanism algorithm (EMA), and artificial bee colony (ABC)) are proposed, and each is hybridized with variable neighborhood search (VNS) are proposed. Because metaheuristic methods are sensitive to input parameters, response surface methodology (RSM) with the multi-objective decision making (MODM) approach is applied for tuning the parameters. The proposed approaches are compared with the hybrid of genetic algorithm (GA) and VNS as the benchmark algorithm. A fair comparison is conducted by employing six metrics to evaluate the quality of the Pareto frontier obtained by the algorithms on the test problems. According to the results, the predominance of EMA is enhanced by VNS local search. \textcopyright 2018 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Swarm intelligence

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.38 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environmentsFirms currently operate in highly competitive scenarios, where the environmental conditions evolve over time. Many factors intervene simultaneously and their hard-to-interpret interactions throughout the supply chain greatly complicate decision-making. The complexity clearly manifests itself in the field of inventory management, in which determining the optimal replenishment rule often becomes an intractable problem. This paper applies machine learning to help managers understand these complex scenarios and better manage the inventory flow. Building on a dynamic framework, we employ an inductive learning algorithm for setting the most appropriate replenishment policy over time by reacting to the environmental changes. This approach proves to be effective in a three-echelon supply chain where the scenario is defined by seven variables (cost structure, demand variability, three lead times, and two partners' inventory policy). Considering four alternatives, the algorithm determines the best replenishment rule around 88% of the time. This leads to a noticeable reduction of operating costs against static alternatives. Interestingly, we observe that the nodes are much more sensitive to inventory decisions in the lower echelons than in the upper echelons of the supply chain. \textcopyright 2018, \textcopyright 2018 Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: C4.5 algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.39 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A decision support methodology for a disaster-caused business continuity managementSupply chain risk management typically deals with the systematic identification, analysis and mitigation of risks which affect the whole supply chain network of a company. Business continuity management (BCM) forms part of supply chain risk management and is an important competitive factor for companies by ensuring the smooth functioning of critical business processes in the case of failures. If business operations are severely disrupted, the companies' decision maker is confronted with a situation which is characterized by a high degree of uncertainty, complexity and time pressure. In such a context, decision support can be of significant value. This article presents a novel decision support methodology which leads to an improved and more robust BCM for severe disruptions caused by disasters. The methodology is part of the Reactive Disaster and supply chain Risk decision Support System (ReDRiSS) to deal with different levels of information availability and to provide decision makers with a robust decision recommendation regarding resource allocation problems. It combines scenario techniques, optimization models and approaches from decision theory to operate in an environment characterized by sparse or lacking information and dynamic changes over time. A simulation case study is presented where the methodology is applied within the BCM of a food retail company in Berlin that is affected by a pandemic disaster. \textcopyright 2018 Elsevier B.V. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: None

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.40 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Online big data-driven oil consumption forecasting with Google trendsThe rapid development of big data technologies and the Internet provides a rich mine of online big data (e.g., trend spotting) that can be helpful in predicting oil consumption ??an essential but uncertain factor in the oil supply chain. An online big data-driven oil consumption forecasting model is proposed that uses Google trends, which finely reflect various related factors based on a myriad of search results. This model involves two main steps, relationship investigation and prediction improvement. First, cointegration tests and a Granger causality analysis are conducted in order to statistically test the predictive power of Google trends, in terms of having a significant relationship with oil consumption. Second, the effective Google trends are introduced into popular forecasting methods for predicting both oil consumption trends and values. The experimental study of global oil consumption prediction confirms that the proposed online big-data-driven forecasting work with Google trends improves on the traditional techniques without Google trends significantly, for both directional and level predictions. \textcopyright 2017 International Institute of Forecasters could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Decision tree

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.41 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Fuzzy type-II De-Novo programming for resource allocation and target setting in network data envelopment analysis: A natural gas supply chainDeveloping effective approaches to design optimal resources of system based on the concepts of benchmark in DEA and optimal design in De-Novo programming is one of the important managerial decision making problems. In this paper, a decision support system is developed for allocation of resources and setting the targets across a set of entities in an equitable manner in presence of uncertainty. The proposed approach has two main modules. First, the most suitable system is designed using De-Novo programming. De-Novo programming. De-Novo programming is used to optimally determine the inputs (i.e., resources) and outputs (i.e., targets) of DMUs in network DEA rather than optimizing existing DMUs. Then, the optimal values of resources are allocated and optimal values of the targets are set in a complex network structure. Furthermore, in real-world problems budget of resources and targets are usually mixed with uncertainties, so in this paper, two concept of fuzzy and interval type-II fuzzy resources and target are developed for resource allocation and target setting. Finally numerical example based on real case of natural gas supply chain is also used to evaluate the applicability and efficacy of the proposed models. \textcopyright 2018 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.42 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspectiveManaging efficiently the flow of products throughout the supply chain is essential for succeeding in today's marketplace. We consider the Kanban (from Lean Management) and Drum-Buffer-Rope (DBR, from the Theory of Constraints) scheduling mechanisms and evaluate their performance in a four-echelon supply chain operating within a large noise scenario. Through an agent-based system, which is presented as a powerful model-driven decision support system for managers, we show the lower sensitivity against variability and the higher financial performance of DBR, which occurs as this mechanism improves the supply chain robustness due to its bottleneck orientation. Nonetheless, we prove the existence of regions in the decision space where Kanban offers similar performance. This is especially relevant taking into account that Kanban can be implemented at a lower cost, as DBR requires a higher degree of information transparency and a solid contract between partners to align incentives. In this sense, we offer decision makers a methodological approach to reach an agreement when the partners decide to move from Kanban to DBR in a bid to increase the overall net profit in supply chains operating in a challenging noise scenario. \textcopyright 2018 Elsevier Ltd could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: None

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.43 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Supply chain risk management and artificial intelligence: state of the art and future research directionsSupply chain risk management (SCRM) encompasses a wide variety of strategies aiming to identify, assess, mitigate and monitor unexpected events or conditions which might have an impact, mostly adverse, on any part of a supply chain. SCRM strategies often depend on rapid and adaptive decision-making based on potentially large, multidimensional data sources. These characteristics make SCRM a suitable application area for artificial intelligence (AI) techniques. The aim of this paper is to provide a comprehensive review of supply chain literature that addresses problems relevant to SCRM using approaches that fall within the AI spectrum. To that end, an investigation is conducted on the various definitions and classifications of supply chain risk and related notions such as uncertainty. Then, a mapping study is performed to categorise existing literature according to the AI methodology used, ranging from mathematical programming to Machine Learning and Big Data Analytics, and the specific SCRM task they address (identification, assessment or response). Finally, a comprehensive analysis of each category is provided to identify missing aspects and unexplored areas and propose directions for future research at the confluence of SCRM and AI. \textcopyright 2018, \textcopyright 2018 Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Support Vector Machine

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.44 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'A stochastic planning framework for the discovery of complementary, agricultural systemsOne of the greatest 21st century challenges is meeting the need to feed a growing world population which is expected to increase by about 35% by 2050. To meet this challenge, it is necessary to make major improvements on current food production and distribution systems capabilities, as well as to adapt these systems to expected trends such as climate change. Changing climate patterns may present opportunities for unidentified, geographical regions with adequate climate patterns to produce high-value agricultural products in a profitable and sustainable manner. This paper focuses on the design and planning aspects of a discovery process to unearth agri-food supply chains capable of generating attractive return on investments. A stochastic optimization framework is used to develop planting and harvesting schedules for a set of identified regions with complementary weather characteristics. To address the high-level of variability in the problem context, a two-stage stochastic decomposition method is used to consider a larger number of scenarios. As part of the solution process, a modeling scheme is developed that learns past interactions between entering discretized, weather scenarios and optimal first-stage solutions. In this context, machine learning and dimensionality reduction techniques are used to iteratively estimate each region's probability of belonging to first-stage solutions based on previous solution-scenario results. The implementation of the stochastic framework is shown through a case study applied to multiple locations within the US southwest states of Arizona and New Mexico. \textcopyright 2019 Elsevier B.V. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Dimensionality Reduction

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.45 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chainThe bullwhip effect (BWE) is a phenomenon, which is caused by ineffective inventory decisions made by supply chain members. In addition to known inefficiencies caused by the bullwhip effect within a supply chain product flow, such as excessive inventory, it can also lead to inefficiencies in cash flow such as the cash flow bullwhip (CFB). The CFB reduces the efficiency of the supply chain (SC) through heterogeneous distribution of cash among supply chain members. This paper aims to decrease both the BWE and the CFB across a SC through applying a simulation-based optimisation approach, which integrates system dynamics (SD) simulation and genetic algorithms. For this purpose, cash flow modelling is incorporated into the SD structure of the beer distribution game (BG) to develop the CFB function. A multi objective optimisation model is then integrated with the SD-BG simulation model. Finally, a genetic algorithm (GA) is applied to determine the optimal values for the inventory, supply line, and financial decision parameters. Results show that the proposed integrated framework leads to efficient liquidity management in the SC in addition to cost management. \textcopyright 2020, \textcopyright 2020 Ulster University. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.46 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Agri-food 4.0: A survey of the Supply Chains and Technologies for the Future AgricultureThe term ?�Agri-Food 4.0??is an analogy to the term Industry 4.0, coming from the concept ?�agriculture 4.0?? Since the origins of the industrial revolution, where the steam engines started the concept of Industry 1.0 and later the use of electricity upgraded the concept to Industry 2.0, the use of technologies generated a milestone in the industry revolution by addressing the Industry 3.0 concept. Hence, Industry 4.0, it is about including and integrating the latest developments based on digital technologies as well as the interoperability process across them. This allows enterprises to transmit real-time information in terms behaviour and performance. Therefore, the challenge is to maintain these complex networked structures efficiently linked and organised within the use of such technologies, especially to identify and satisfy supply chain stakeholders dynamic requirements. In this context, the agriculture domain is not an exception although it possesses some specialities depending from the domain. In fact, all agricultural machinery incorporates electronic controls and has entered to the digital age, enhancing their current performance. In addition, electronics, using sensors and drones, support the data collection of several agriculture key aspects, such as weather, geographical spatialization, animals and crops behaviours, as well as the entire farm life cycle. However, the use of the right methods and methodologies for enhancing agriculture supply chains performance is still a challenge, thus the concept of Industry 4.0 has evolved and adapted to agriculture 4.0 in order analyse the behaviours and performance in this specific domain. Thus, the question mark on how agriculture 4.0 support a better supply chain decision-making process, or how can help to save time to farmer to make effective decision based on objective data, remains open. Therefore, in this survey, a review of more than hundred papers on new technologies and the new available supply chains methods are analysed and contrasted to understand the future paths of the Agri-Food domain. \textcopyright 2020 could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: AI algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.47 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Omni-channel management in the new retailing era: A systematic review and future research agendaOmni-channel retailing is a popular strategy in a new retailing era when digitalization, social media, big data and other emerging technologies (e.g., Artificial Intelligence (AI), virtual reality (VR), augmented reality (AR), blockchain, etc.) are transforming the retail business models. Meanwhile, omni-channel related operations impose a challenge on either well-established firms or new setups that they have to make ?�right??decisions to fit in the new retail environment. This review paper endeavors to reveal the established knowledge behind the omni-channel retailing literature, generate managerial implications for firms, and provides a guideline for future research. We conduct this systematic review by adopting citation network analysis (CNA). The CNA helps identify seven independent and interdependent research domains, which depict (or constitute) a whole picture of ?�omnichannel management?? The main path analysis reveals that each identified research domain is under study. We also find that the extant literature seldom examines the roles of how new technologies play in the ?�omnichannel management?? Moreover, the domain of supply chain management and inventory management in the omnichannel environment is absent in this systematic literature review. Therefore, we propose a prescribed framework for ?�omnichannel management??(PFOM), which contributes to the literature on ?�omnichannel management??and provides important managerial applications to the retail firms that plan to implement the omnichannel strategy. \textcopyright 2020 could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: AI algorithms

### Instruction: I want to get a AI technique keyword in an article within given technique list. the technique list is [Adaptive tabu search algorithm, AI algorithm, ANN, Artificial immune, system algorithm, Artificial WD, Association rule mining, Bioinspired algorithms, C4.48 algorithm, Clustering, Data mining algorithm, Decision tree, Dimensionality reduction, Genetic algorithm, Gradient descent algorithm, Intelligentllligent agent, Intelligent optimization algorithms, Kalman filter, Multi-objective artificial bee colony, Nearest neighbor, Particle swarm intelligence, Particle swarm optimization, Regression trees, SMART algorithm, Support vector machine]. if you can't find any related AI technique from article, please mark as 'none'Optimisation of the broiler production supply chainIn this paper, we propose a mixed integer programming (MIP) model for the Chicken Flock Sizing, Allocation and Scheduling Problem (CFSASP), which is an important planning problem in the broiler production supply chain. To solve the CFSASP efficiently, two variants of rolling horizon heuristics (RHHs) have been developed and applied on the case of a Norwegian broiler production company. Computational results show that the RHHs successfully obtain high-quality solutions within a reasonable time. The value of optimisation is verified through comparison with the case company's plans, where the solutions from optimisation outperforms the current solutions. Sensitivity analyses are also conducted to provide managerial insights regarding certain strategic decisions, such as how many and which days to use for hatching of chickens. Due to the promising results, the case company is now implementing an optimisation-based decision support system based on the MIP model and solution methods shown in this paper. \textcopyright 2020, \textcopyright 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. could you give me most relevant algorithms within article range only in the list? if you can't find any related algorithms from article, please answer 'None'. give me only top five keyword. ### Response: Genetic algorithm