cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14283104
title: Application of Automation and Manufacture techniques oriented to a service-based business using the Internet of Things (IoT) and Industry 4.0 concepts. Case study: Smart Hospital

description: Abstract: The implementation of Manufacture and Automation techniques is mandatory in the current world. Mainly, the enhancement and progress of healthcare are fundamental in wellbeing improvement. This paper points to the utilization of the Internet of Things (IoT) and Industry 4.0 concepts oriented to the optimization of a Smart Hospital using the Hospital Emergency Department (HED) as a case study. This proposal focuses on the development of a smart Hospital-based of the IoT, Industry 4.0, Health 4.0, and other current technology. On the other hand, the use of a computational simulation tool like the Discrete Event Simulation Model (DES) will allow the test, recognition, and reduction of bottlenecks in the HED workflow. The issue given by the bottlenecks is automatically controlled using an improved dynamic shift management proposal based on control theory, forecasting methods, and telemedicine. The results show an improvement in the use of the resources and a reduction of the length of stay that directly reduces the HED mortality rate, improving the service quality. The objective of this paper is to propose a simulation tool-based on DES for a selected HED, using forecasting methods of the patients’ arrival in a HED using the Autoregressive integrated moving average (ARIMA) model. Following the forecasted entries, a proposal for bottleneck avoidance using a HED DES was realized. The forecasting data provided useful predictive information for the improvement of the HED workflow. As well as the analyzed data of a traditional HED system is helpful to solve the overcrowding problem. Finally, the use of simulation tools allows the test and validation of novel proposals for two smart HED optimization proposals following e-Health and Hospital 4.0 principles.
DOI: 10.6084/m9.figshare.14283110
title: Cloud computing based unsupervised fault diagnosis system in the context of Industry 4.0

description: Abstract: New online fault monitoring and alarm systems, with the aid of Cyber-Physical Systems (CPS) and Cloud Technology (CT), are examined in this article within the context of Industry 4.0. The data collected from machines is used to implement maintenance strategies based on the diagnosis and prognosis of the machines' performance. As such, the purpose of this paper is to propose a Cloud Computing Platform containing three layers of technologies forming a Cyber-Physical System which receives unlabelled data to generate an interpreted online decision for the local team, as well as collecting historical data to improve the analyzer. The proposed troubleshooter is tested using unlabelled experimental data sets of rolling element bearing. Finally, the current and future Fault Diagnosis Systems and Cloud Technologies applications in the maintenance field are discussed.
DOI: 10.6084/m9.figshare.14283110.v1
title: Cloud computing based unsupervised fault diagnosis system in the context of Industry 4.0

description: Abstract: New online fault monitoring and alarm systems, with the aid of Cyber-Physical Systems (CPS) and Cloud Technology (CT), are examined in this article within the context of Industry 4.0. The data collected from machines is used to implement maintenance strategies based on the diagnosis and prognosis of the machines' performance. As such, the purpose of this paper is to propose a Cloud Computing Platform containing three layers of technologies forming a Cyber-Physical System which receives unlabelled data to generate an interpreted online decision for the local team, as well as collecting historical data to improve the analyzer. The proposed troubleshooter is tested using unlabelled experimental data sets of rolling element bearing. Finally, the current and future Fault Diagnosis Systems and Cloud Technologies applications in the maintenance field are discussed.
DOI: 10.6084/m9.figshare.14283111.v1
title: Towards Industry 4.0: a SWOT-based analysis for companies located in the Sorocaba Metropolitan Region (São Paulo State, Brazil)

description: Abstract: The concept of Industry 4.0 was first introduced in Germany in 2011. Also called as the 4th industrial revolution, this concept is based on digitization and integration of physical and digital media, focusing on the automation of production processes and integration across the value chain. Due to the fast development of Industry 4.0 in the last few years, this study performed a SWOT-based analysis to assess strategic points to develop and apply digital technologies in the companies situated at the SMR – Sorocaba Metropolitan Region (São Paulo State, Brazil). A literature review was developed on Industry 4.0 conception and its main technologies: Cyber-Physical Systems, Internet of Things, Intelligent Factories and Big Data. Findings from the literature review were used to develop an exploratory questionnaire (survey), which was applied to SMR’s companies’ representatives. After that, a SWOT matrix was applied, to generate action plans to facilitate the insertion of Industry 4.0 in the companies from the SMR, based on offensive, confrontational, reinforcement and defense strategies selection. The strategies proposed on this paper should be used as an input for public political issues in the SMR, and they could also be expanded to other regions in Brazil as short and long-term strategies.
DOI: 10.22008/fk2/oiajvo/u38a29
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.6084/m9.figshare.14283114.v1
title: An enterprise model on Sensing, Smart, and Sustainable (S

description: Abstract Organizations are being highly pressured to increase their competitiveness in order to deal with dynamic and turbulent markets. The development of an intelligent manufacturing system has been identified as an effective way to increase the competitiveness of enterprises. Traditional companies need models, skills, processes, and technologies to face the challenges imposed by today´s highly competitive markets, which require constant innovation. Sensing, Smart, and Sustainable (S^3) Enterprises play an important role in the digitization of strategies, decisions, and operations. They become efficient in facing the challenges intrinsic to the digital economy and intelligent manufacturing by applying the concepts of detection and monitoring, intelligence, and sustainability. The extant literature indicates the need for the development of methods and enterprise models that portray the reality of S^3 Enterprises. This paper presents an enterprise model to facilitate the formalization of S^3 Enterprises and help understand the dynamics of their operations. Applying the For Enterprise Modeling (4EM) method, this proposed enterprise model documents the goals, business rules, processes, and concepts of S^3 Enterprises. The contribution of this paper is the identification of guiding principles that allow companies interested in applying the S^3 concepts to have a basic reference mapped through perspectives of different knowledge domains.
DOI: 10.6084/m9.figshare.14283113
title: An exploratory study on emerging technologies applied to logistics 4.0

description: Abstract The concept of Logistics 4.0 works closely to that of Industry 4.0. While Industry 4.0 proposes a disruptive change in manufacturing, Logistics 4.0 advocates a transformation in the way organizations buy, manufacture, sell, and deliver products. The objective of this paper is to identify, in Brazilian companies, the degree of interest in the investment in six emerging technologies applicable to logistics, according to scientific literature, as well as to identify the current perception of data quality of these companies. To achieve these objectives, an online survey was conducted. The research showed that the technologies that most interest Brazilian companies are Internet of Things (IoT) and cloud computing, both with 82% of investment intention. The two technologies that least interested companies are crowdsourcing and 3D printing, both with 68% investment disinterest among respondents.
DOI: 10.6084/m9.figshare.14283114
title: An enterprise model on Sensing, Smart, and Sustainable (S

description: Abstract Organizations are being highly pressured to increase their competitiveness in order to deal with dynamic and turbulent markets. The development of an intelligent manufacturing system has been identified as an effective way to increase the competitiveness of enterprises. Traditional companies need models, skills, processes, and technologies to face the challenges imposed by today´s highly competitive markets, which require constant innovation. Sensing, Smart, and Sustainable (S^3) Enterprises play an important role in the digitization of strategies, decisions, and operations. They become efficient in facing the challenges intrinsic to the digital economy and intelligent manufacturing by applying the concepts of detection and monitoring, intelligence, and sustainability. The extant literature indicates the need for the development of methods and enterprise models that portray the reality of S^3 Enterprises. This paper presents an enterprise model to facilitate the formalization of S^3 Enterprises and help understand the dynamics of their operations. Applying the For Enterprise Modeling (4EM) method, this proposed enterprise model documents the goals, business rules, processes, and concepts of S^3 Enterprises. The contribution of this paper is the identification of guiding principles that allow companies interested in applying the S^3 concepts to have a basic reference mapped through perspectives of different knowledge domains.
DOI: 10.6084/m9.figshare.14283104.v1
title: Application of Automation and Manufacture techniques oriented to a service-based business using the Internet of Things (IoT) and Industry 4.0 concepts. Case study: Smart Hospital

description: Abstract: The implementation of Manufacture and Automation techniques is mandatory in the current world. Mainly, the enhancement and progress of healthcare are fundamental in wellbeing improvement. This paper points to the utilization of the Internet of Things (IoT) and Industry 4.0 concepts oriented to the optimization of a Smart Hospital using the Hospital Emergency Department (HED) as a case study. This proposal focuses on the development of a smart Hospital-based of the IoT, Industry 4.0, Health 4.0, and other current technology. On the other hand, the use of a computational simulation tool like the Discrete Event Simulation Model (DES) will allow the test, recognition, and reduction of bottlenecks in the HED workflow. The issue given by the bottlenecks is automatically controlled using an improved dynamic shift management proposal based on control theory, forecasting methods, and telemedicine. The results show an improvement in the use of the resources and a reduction of the length of stay that directly reduces the HED mortality rate, improving the service quality. The objective of this paper is to propose a simulation tool-based on DES for a selected HED, using forecasting methods of the patients’ arrival in a HED using the Autoregressive integrated moving average (ARIMA) model. Following the forecasted entries, a proposal for bottleneck avoidance using a HED DES was realized. The forecasting data provided useful predictive information for the improvement of the HED workflow. As well as the analyzed data of a traditional HED system is helpful to solve the overcrowding problem. Finally, the use of simulation tools allows the test and validation of novel proposals for two smart HED optimization proposals following e-Health and Hospital 4.0 principles.
DOI: 10.6084/m9.figshare.14283107
title: Highlighting the benefits of Industry 4.0 for production: an agent-based simulation approach

description: Abstract: Advanced Manufacturing or Industry 4.0 concepts bring new advances and challenges to current industrial processes. Such concepts are not always well understood and their results in terms of production performance may not be clear. This work proposes a comparison between a traditional manufacturing process and an advanced manufacturing process, both modelled by a multiagent society. In the traditional manufacturing simulation, the agents follow the defined times of each process, including the maintenance times. In the advanced manufacturing simulation, the decision about when to stop a piece of equipment for maintenance is defined by the agent according to data received from sensors and the definitions of the process. The results indicate a significant improvement in equipment usage and consequently higher production in the same time interval. The process simulation clearly indicates that the application of advanced manufacturing concepts in industry is relevant in order to increase the efficiency of production processes. Among the main concepts introduced in advanced manufacturing models are the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Artificial Intelligence (AI). The models generated are computationally simulated using an agent-based simulation method from the software AnyLogic. The results obtained should contribute to encouraging small and medium sized enterprises to adopt the concepts of Industry 4.0 in their businesses.
DOI: 10.6084/m9.figshare.14283111
title: Towards Industry 4.0: a SWOT-based analysis for companies located in the Sorocaba Metropolitan Region (São Paulo State, Brazil)

description: Abstract: The concept of Industry 4.0 was first introduced in Germany in 2011. Also called as the 4th industrial revolution, this concept is based on digitization and integration of physical and digital media, focusing on the automation of production processes and integration across the value chain. Due to the fast development of Industry 4.0 in the last few years, this study performed a SWOT-based analysis to assess strategic points to develop and apply digital technologies in the companies situated at the SMR – Sorocaba Metropolitan Region (São Paulo State, Brazil). A literature review was developed on Industry 4.0 conception and its main technologies: Cyber-Physical Systems, Internet of Things, Intelligent Factories and Big Data. Findings from the literature review were used to develop an exploratory questionnaire (survey), which was applied to SMR’s companies’ representatives. After that, a SWOT matrix was applied, to generate action plans to facilitate the insertion of Industry 4.0 in the companies from the SMR, based on offensive, confrontational, reinforcement and defense strategies selection. The strategies proposed on this paper should be used as an input for public political issues in the SMR, and they could also be expanded to other regions in Brazil as short and long-term strategies.
DOI: 10.6084/m9.figshare.14283113.v1
title: An exploratory study on emerging technologies applied to logistics 4.0

description: Abstract The concept of Logistics 4.0 works closely to that of Industry 4.0. While Industry 4.0 proposes a disruptive change in manufacturing, Logistics 4.0 advocates a transformation in the way organizations buy, manufacture, sell, and deliver products. The objective of this paper is to identify, in Brazilian companies, the degree of interest in the investment in six emerging technologies applicable to logistics, according to scientific literature, as well as to identify the current perception of data quality of these companies. To achieve these objectives, an online survey was conducted. The research showed that the technologies that most interest Brazilian companies are Internet of Things (IoT) and cloud computing, both with 82% of investment intention. The two technologies that least interested companies are crowdsourcing and 3D printing, both with 68% investment disinterest among respondents.
DOI: 10.6084/m9.figshare.14283117
title: Performance of supermarkets in Santa Catarina: an analysis of small and medium-sized units

description: Abstract: The retail supermarket sector is one of the most important in the third sector. Besides being one of that most generates direct and indirect jobs, it is one of the first to capture changes in consumer behavior. Given the strong competition and constant evolution of the sector, it is necessary to improve techniques for individual performance measurement of the networks and the construction of parameters of relative comparison between the units. The aim of this article is to analyze the efficiency of a 31 supermarkets sample in Santa Catarina, using Data Envelopment Analysis (DEA). The variables used in the investigation were gross sales, the number of employees, sales area and number of checkout's in the period of 2014 and 2015. The results pointed out a low percentage of units at maximum efficiency for the two periods analyzed. Another relevant finding was that the variables that presented a mismatch to reach the maximum efficiency of the units was the “Sales area (m2)” and “number of employees“, suggesting the existence of idle structure capacity.
DOI: 10.6084/m9.figshare.14283107.v1
title: Highlighting the benefits of Industry 4.0 for production: an agent-based simulation approach

description: Abstract: Advanced Manufacturing or Industry 4.0 concepts bring new advances and challenges to current industrial processes. Such concepts are not always well understood and their results in terms of production performance may not be clear. This work proposes a comparison between a traditional manufacturing process and an advanced manufacturing process, both modelled by a multiagent society. In the traditional manufacturing simulation, the agents follow the defined times of each process, including the maintenance times. In the advanced manufacturing simulation, the decision about when to stop a piece of equipment for maintenance is defined by the agent according to data received from sensors and the definitions of the process. The results indicate a significant improvement in equipment usage and consequently higher production in the same time interval. The process simulation clearly indicates that the application of advanced manufacturing concepts in industry is relevant in order to increase the efficiency of production processes. Among the main concepts introduced in advanced manufacturing models are the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Artificial Intelligence (AI). The models generated are computationally simulated using an agent-based simulation method from the software AnyLogic. The results obtained should contribute to encouraging small and medium sized enterprises to adopt the concepts of Industry 4.0 in their businesses.
DOI: 10.6084/m9.figshare.14283119.v1
title: Motivation for the development of patents in universities in the state of Pernambuco, Brazil

description: Abstract: This paper presents the main factors associated with the motivation of researchers from two universities in the state of Pernambuco, Brazil, to develop patents. To do so, the researchers responded to a Likert-scale survey. Through a principal components analysis, it was verified that the factors that serve as barriers to the development of patents in the universities are associated with limitations in the support given by the TTO (Technology Transfer Office) and the amount of benefits offered to researchers. Likewise, the main motivating factors were associated with improvements in the TTO infrastructure and with the expansion of benefits.
DOI: 10.6084/m9.figshare.14283117.v1
title: Performance of supermarkets in Santa Catarina: an analysis of small and medium-sized units

description: Abstract: The retail supermarket sector is one of the most important in the third sector. Besides being one of that most generates direct and indirect jobs, it is one of the first to capture changes in consumer behavior. Given the strong competition and constant evolution of the sector, it is necessary to improve techniques for individual performance measurement of the networks and the construction of parameters of relative comparison between the units. The aim of this article is to analyze the efficiency of a 31 supermarkets sample in Santa Catarina, using Data Envelopment Analysis (DEA). The variables used in the investigation were gross sales, the number of employees, sales area and number of checkout's in the period of 2014 and 2015. The results pointed out a low percentage of units at maximum efficiency for the two periods analyzed. Another relevant finding was that the variables that presented a mismatch to reach the maximum efficiency of the units was the “Sales area (m2)” and “number of employees“, suggesting the existence of idle structure capacity.
DOI: 10.6084/m9.figshare.14283119
title: Motivation for the development of patents in universities in the state of Pernambuco, Brazil

description: Abstract: This paper presents the main factors associated with the motivation of researchers from two universities in the state of Pernambuco, Brazil, to develop patents. To do so, the researchers responded to a Likert-scale survey. Through a principal components analysis, it was verified that the factors that serve as barriers to the development of patents in the universities are associated with limitations in the support given by the TTO (Technology Transfer Office) and the amount of benefits offered to researchers. Likewise, the main motivating factors were associated with improvements in the TTO infrastructure and with the expansion of benefits.
DOI: 10.22008/fk2/oiajvo/v2zwxj
title: albedo_bb_planar_sw.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.6084/m9.figshare.14283122
title: Customer orientation and financial performance relationship: the mediating role of innovative capability

description: Abstract: Existing research establishes customer orientation (CO) per se as insufficient to achieve higher levels of financial performance (FP). Such reasoning suggests the need for additional skills and capabilities, such as, innovative capability (IC). In addition, environmental variables (e.g., Technological Turbulence – TT) affect these relationships. This paper explores the relationships and effects of CO and IC on FP under different TT conditions. A research framework and hypotheses were developed. The framework captures the following relationships: (i) the direct influence of CO on FP; (ii) the mediating role of IC on the CO/FP relationship; (iii) the moderating role of TT over the mediation of IC on the CO/FP relationship. The fieldwork included an exploratory stage, followed by a cross-sectional survey applied to managers in medium-sized companies in Brazil. Findings revealed that IC partially mediates the relationship between CO and FP, in particular in high TT environments. Managerial implications and avenues for future research are presented.
DOI: 10.6084/m9.figshare.14283126
title: Small business networks in the field of organic farming: strategies and management tools

description: Abstract: Business cooperation networks are based on specific parameters: common goal, competitive earnings, interaction among partners and management. Networks of farmers focused on organic production are growing due to the increasing demand. The objective of this research is to propose a framework of organizational strategies and management and governance tools for networks of small businesses operating in the field of organic farming. The methodology adopts a qualitative approach and it is comprised by a conceptual and theoretical review as well as two case studies. The proposed framework shows organizational strategies and management tools- that are crucial for the networks to thrive. Management instruments include, strategic, integration, contractual and decision-making instruments. Global strategies correspond to strategies regarding competitiveness, strategies regarding the product/market and strategies regarding the use of means. The value chain activities comprise the functional strategies. Results revealed significant particularities and common aspects of the organizational strategies and management tools.