Authors,Title,Year,Abstract

"Anantharaman R., Johnsen E.L., Gundersen T.",Revisiting the simultaneous process optimization with heat integration problem,2014,Simultaneous process optimization and heat integration is essential in the optimal design and operation of process plants with high energy efficiency. This paper revisits the pinch location method and proposes a new compact formulation for simultaneous process optimization with heat integration. The developed simultaneous approach is applied in the process optimization of an Integrated Reforming Combined Cycle power plant that results in a highly efficient process with tight heat integration. © 2014 Elsevier B.V.

"Zdolsek Draksler T., Cimperman M., Obrecht M.",Data-Driven Supply Chain Operations—The Pilot Case of Postal Logistics and the Cross-Border Optimization Potential,2023,"According to the defined challenge of cross-border delivery, a pilot experiment based on the integration of new digital technologies to assess process optimization potential in the postal sector was designed. The specifics were investigated with events processing based on digital representation. Different events were simulated with scenario analysis with the integration of the Cognitive Advisor and supported by the monitoring of KPIs. The business environment is forcing logistics companies to optimize their delivery processes, integrate new technologies, improve their performance metrics, and move towards Logistics 4.0. Their main goals are to simultaneously reduce costs, environmental impact, delivery times, and route length, as well as to increase customer satisfaction. This pilot experiment demonstrates the integration of new digital technologies for process optimization in real time to manage intraday changes. Postal operators can increase flexibility, introduce new services, improve utilization by up to 50%, and reduce costs and route length by 12.21%. The Cognitive Advisor has shown great potential for the future of logistics by enabling a dynamic approach to managing supply chain disruptions using sophisticated data analytics for process optimization based on the existing delivery infrastructure and improving business processes. Research originality is identified with a novel approach of real-time simulation based on the integration of the Cognitive Advisor in postal delivery. © 2023 by the authors."

"Korpysa J., Halicki M.",Project supply chain management and fintech startups - relationship,2022,"The primary purpose of the article is to show the role of fintech startups in the operation of project supply chain. In the first part, based on the literature review, the theoretical issues concerning the taxonomic view of supply chain and project supply chain were presented. These considerations formed the basis for designing a model of fintech startup functioning in project supply chain. The model was created based on the recent studies on fintech and young companies. The model distinguishes three basic elements: digital management, transaction business process and smart contract which determine the process optimization and the efficiency of implementing financial innovations in project supply chain. The proposed model can be a further inspiration for researchers to undertake studies in this area, while for practitioners it can be a valuable source of knowledge on the use of financial innovations created by fintech startups in business operations. © 2022 The Authors. Published by Elsevier B.V."

"Robak S., Franczyk B., Robak M.",Business process optimization with big data analytics under consideration of privacy,2016,"One of the contemporary problems, and at the same time a big opportunity, in business networks of supply chains are the issues associated with the vast amounts of data arising there. The data may be utilized by the decision support systems in supply chains; nevertheless, often there are information privacy problems. The supply chains in cloud will need appropriate administration for support of privacy aspects of cooperating business units existing in big data ecosystems. In this paper we analyze the possibility of utilizing the big data technology for supporting business processes optimization with respect of the privacy regulations in supply chains under the usage of the big data analytics lifecycle. We present our approach on an example of a business process in logistics. © 2016 Polish Information Processing Society."

"Ning Z., Lei L., Chengyang H., Xinyan Y.",Online process optimization system and method of cutting chip,2020,"At present, more and more enterprises engaged in NC machining have invested a lot of money to optimize product processing technology, due to the optimization of processing technology that it can reduce costs can greatly reduce enterprise cost, improve processing efficiency, reduce material loss, and improve operation safety and controllability. However, process optimization is a very complex problem. Many factors such as environment, equipment and operators have an impact on process optimization. A little change of one of these factors will lead to different parameters obtained from process optimization. Although it has been many years, there is still no universal process optimization method. In this paper, we developed an online process optimization system and method of cutting chip which can effectively improve processing efficiency and reduce processing costs. © 2020 IEEE."

"Grobler-Debska K., Zak B., Fijas M., Kowalski M., Kopa M., Kucharska E., Baranowski J.",Logistics processes optimization in ERP systems,2022,"Supply chain planning is a difficult task for organizations and both crucial for their profits and for market pene-tration. Many processes belonging to supply chain planning and management belong to discrete optimisation problems. Although science provides many methods for discrete optimization, business cannot apply them. The main software supporting management in companies are ERP systems. ERP support decision-making at the strategic, tactical and operational level. Most ERP systems, even at the leading edge, do not have complex optimisation al-gorithms implemented to support supply chain decision-making. The paper presents the results of the InfoConsulting research and development project related to design and implementation of a solution that allows modelling and simulation of logistic processes, material area, in a company and the implementation and optimisation of material logistics processes, which will communicate with typical ERP systems using communication of mobile devices. © 2022 IEEE."

"Irfan D., Xu X., Deng S., Khan I.A.",Clustering framework for Supply Chain Management (SCM) system,2007,"The cram of supply chain management (SCM) is being considered as center of attention and motivation, not only among academics but also among practitioners in recent years. SCM systems face complexity, process's time compression, and lack ness of process optimization. In our current work, we present a broad framework for SCM, based on K-means clustering algorithm which concentrates on the supply chain (SC) processes for lessen the complexity, optimization factors in SC process communication, product variability and inaccurate forecast. Results show a feasibility to adopt this technique from a business analyst view point. © 2007 IEEE."

"Bendavid Y., Wamba S.F., Lefebvre L.A.",Proof of concept of an RFID-enabled supply chain in a B2B e-commerce environment,2006,"Based on a field study conducted in the utility industry, this paper examines the impacts and potential benefits generated by an RFID application in one specific supply chain. Through a detailed investigation of the underlying business processes, we demonstrate how process optimization can be achieved when integrating RFID technology into information systems applications. A proof of concept (POC) is also conducted in laboratory settings to demonstrate the feasibility of the proposed scenarios. Copyright 2006 ACM."

"Chuks M., Arnesh T.",Decision-support for business process optimization modelling framework based on industry 4.0 enablement,2018,"Optimizing business functions ensures corporate sustainability and competitiveness. Large multinationals execute business operations based on business processes. Large multinationals are constantly seeking best practice business process optimization measures towards enhancing and managing the execution of business activities. This research develops a business process optimization modelling framework for predicting and managing business functions. The framework is developed with considerations to specifying business operations in a quantifiable and independent manner. This is based on Industry 4.0 business protocols which align with recent technological advances and smart-industry solutions. These are inclusive of automation, simulation, integration, interconnectivity, interoperability, decentralization, virtualisation, internet of things, cloud, cybersecurity, additive manufacturing, augmented reality, big data, and analytics. The applicability of the proposed business process optimization modelling framework is explicitly defined via an application scenario based on a specified set of business objective. Developed business process optimization modelling framework is effective in scenario options decision making based on business process impact variables. Results present core design and prioritization benchmarks relative to business priorities. Adoption of industry 4.0 business protocols based on multi-criterion decision-support paradigm is justified as an enhanced business-centric approach for corporate entities relative to predicting the impact of change on the business. © IEOM Society International."

"Hu H., Su C.",Self-adaptive process optimisation method for SBS cloud application based on reinforcement learning,2021,"To solve the problem of poor comprehensive performance of the traditional SBS cloud application adaptive process optimisation method, a new SBS cloud application adaptive process optimisation method based on reinforcement learning was proposed. Establish the adaptive action type selection model, realise the optimal choice of operation type, build the cloud application adaptive process optimisation model for resource cost, convert the problem into the corresponding mathematical model, solve and make the mathematical model of the algorithm, and obtain the best adaptive process optimisation scheme SBS cloud application. The simulation results show that the predicted load value of the method is the closest to the actual load value, the relative error of the prediction is less than 21.03, and the average time is less than 2.3 s, indicating that the method has good performance and high practical application value. © 2021 Inderscience Enterprises Ltd."

Tan H.,Design of E-commerce platform based on supply chain management,2011,"The e-commerce technology in the Internet time is a new generation driver of supply chain management. It is the key for increasing the core competitiveness of current enterprises to how to implement the process optimization of supply chain management and build a more complete and rapid e-commerce application platform under the environment of network. This article introduces the key technologies of design concept, functional structure and development of e-commerce platform based on supply chain management. This platform supports multiple business models, multi-site operations, and cross-channel selling, and can be integrated with the front-end trading systems, the back-end support system, and other external systems, such as partners and suppliers, which can meet e-commerce needs of enterprises with different scale and different development stages. © 2011 Springer-Verlag Berlin Heidelberg."

Schönthaler F.,Optimizing the supply chain with SCOR reference processes and oracle applications [Optimierung der supply chain mit SCOR-referenzprozessen und oracle applikationen],2010,"The ever-closer links in the global economy reflects in the supply chains of companies. Optimized supply chains require a collaborative interaction between all involved partners. For this purpose, SCOR - the process reference model of the Supply Chain Council - has proven itself as a communication platform. The article discusses the use of reference processes. The focus is on collaborative optimization models and the model-based implementation of Oracle Applications. © GITO-Verlag."

"Shi J., Qu L.",Optimization of the online order process for small and medium enterprises,2011,"This paper analyze the influence factors of online transactions for small and medium enterprises, raised two order processing modes of process and half process in online transactions. Adoption of business process reengineering, customer relationship management and supply chain management theory to analyze the online order process optimization and in accordance with the existing order process gives an optimization. © 2011 IEEE."

"Cai L., Zhang J., Zhang Z., Yan X.",Global multilayer and parallel process optimization of complex components,2008,"Global multilayer and parallel process optimization method is proposed based on the existing CAPP and other optimization methods for the global process optimization problem of complex components. The structure of the method is established to carry out global and parallel optimization from process and operation sequence, machine tool, cutting tool, cutting parameters, selection and evolution, comprehensive evaluation and many other aspects. Based on set and matrix, dynamic process genome and chromosome are established to transform complex process optimization to mathematical operation of set and matrix. A comprehensive evaluation model of multi-scheme, multi-factor, multi-target and multi-constraint is built by the method of delamination, weighing, synthesis, abstraction, and normalization. According to the trait of process coding, chromosome optimization operator and dynamic genome optimization operator are designed. The results show that this method has good practical effect, and meets the practical requirements of complex engineering application."

"Aksyonov K.A., Antonova A.S., Aksyonova O.P., Kai W.",Rules for construction of simulation models for production processes optimization,2018,"In this work, the rules for construction of multiagent simulation models for production processes optimization are proposed. The proposed rules are related to implementation of the push strategy when describing processing the objects in the model. The push strategy involves managing the operations priorities in order to support processing of objects in accordance with the “first came first out” rule and in order to perform firstly all works related to the critical path. The method of the production processes optimization has been developed on the basis of the proposed rules and implemented in the metallurgical enterprise information system. The method has been applied to solve the problem of logistic processes optimization of the metal rolling shop of the metallurgical enterprise. On the basis of simulation results, concrete practical recommendations have been made."

"Sriram M., Stevens William F.",EXAMPLE OF THE APPLICATION OF NONLINEAR PROGRAMMING TO CHEMICAL-PROCESS OPTIMIZATION.,1973,"A realistic chemical-process optimization problem is presented in detail, and the fact of its equivalence to the general nonlinear programming problem is noted. The eight equality cconstraints that arise are handled by algebraic substitution, and the resulting four-variable problem is solved by a modified form of the Davidon-Fletcher-Powell algorithm."

"Bai H., Kwong C.K., Tsim Y.C.",Process modelling and optimisation using artificial neural networks and gradient search method,2007,"Process modelling refers to the development of a process model that serves to provide the input-output relationship of a process, while process optimisation provides the optimum operating conditions of a process for a high-yield, low cost and robust operation. Normally, process modelling is a starting point of process optimisation. In this paper, a method of integrating artificial neural networks with a gradient search method for process modelling and optimisation is presented. Artificial neural networks are used to develop process models while a gradient search method is used in process optimisation. Application of the method to the modelling and optimisation of epoxy dispensing for microchip encapsulation is described. Results of the validation tests indicate that good quality of encapsulation can be obtained based on the proposed method. © Springer-Verlag London Limited 2007."

Biegler L.T.,From nonlinear programming theory to practical optimization algorithms: A process engineering viewpoint,1993,"As process optimization becomes an established and mature technology for process simulation, analysis and operation, it becomes important to consider larger and more creative problem formulations and applications, as well as the development of efficient algorithms to tackle them. Here, some novel process optimization applications are briefly reviewed in the following areas of process design and analysis: treatment of constrained and nonsmooth simulation problems, particularly in phase equilibrium synthesis of chemical reactor networks through the application of targeting strategies more efficient strategies for process optimization and postoptimality analysis treatment of uncertainty through multiperiod optimization problems the role of automatic differentiation tools in process optimization An outline of the concepts behind each of these topics will be presented and process examples are briefly described in order to demonstrate the effectiveness of these optimization-based applications. © 1992, Pergamon Press Ltd. All rights reserved."

"Durán F., Salaün G.",Optimization of BPMN Processes via Automated Refactoring,2022,"Business process optimization has become a strategic aspect of companies’ management due to the potential of cost reduction and throughput improvement. There are several ways to achieve process optimization, depending on the level of expressiveness of the processes at hand. In this paper, we focus on processes described using BPMN, but also including an explicit description of execution time and resources associated with tasks. We propose a refactoring procedure whose final goal is to reduce the total execution time of the process given as input. Such a procedure relies on refactoring operations that reorganize the tasks in the process by taking into account the resources used by those tasks. This process refactoring technique is fully automated by a tool that we implemented and applied on several examples for validation purposes. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG."

"Tang C.X.H., Lau H.C.W.",A fuzzy-guided genetic algorithm for quality enhancement in the supply chain,2009,"To respond to the globalization and fierce competition, manufacturers gradually realize the challenge of demanding customers who strongly seek for products of high-quality and low-cost, which implicitly calls for the quality improvement of the products in a cost-effective way. Traditional methods focused on specified process optimization for quality enhancement instead of emphasizing the organizational collaboration to ensure qualitative performance. This paper introduces artificial intelligence (AI) approach to attain quality enhancement by automating the selection of process parameters within the supply chain. The originality of this research is providing an optimal configuration of process parameters along the supply chain and delivering qualified outputs to raise customer satisfaction."

 above is csv of abstracts of research papers create a litrature review and find the different keywords and thell what the papers have to say about them