Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems

Penas, Olivia; Plateaux, Rgis; Patalano, Stanislao; Hammadi, Moncef

doi:10.1016/j.compind.2016.12.001

Cited by 97 publications

(47 citation statements)

References 46 publications

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“…In most cases, the authors use the CPS model as a reference architectural model for dynamically variable production processes [36]. Several dimensional approaches are proposed for the design of advanced mechatronic systems in production processes [30], which differ essentially from Product Service Systems (PSS), especially in the processing efficiency of a Big Data calculation [22]. The established architecture, the CPS model, in relation to the implementation of Artificial Intelligence and simulation methods at all five architectural stages, is presented below with reference to the cited research work [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Use of a Simulation Environment and Metaheuristic Algorithm for Human Resource Management in a Cyber-Physical System

Zhang

Buchmeister

Liu

et al. 2019

Springer Series in Advanced Manufacturing

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At the time of Industry 4.0 and the emergence of collaborative workplaces based on the cooperation of robots (machines) and humans, the number of human workplaces in the Industry 4.0 production system is crucial. In this chapter, we present the use of the evolutionary computation methods that use the input data of a real production system and transfer it through the five-stage Cyber-Physical System architecture into the simulation environment in order to determine the optimal number of workers. By using these methods, we confirm the hypothesis of the importance of correctly determining the number of workers in the manufacturing process in Industry 4.0. Number of workers' determination has a key influence on the product flow time, machine utilization and cost-effectiveness of a production system. Research results show the importance and effectiveness of combining evolutionary computation methods and simulation modelling for the purpose of implementing the advanced approaches of Industry 4.0. The demonstrated approach of combining evolutionary computing, simulation environments and methods of Industry 4.0 can be used from mass customization to mass production systems for the purpose of single-criteria or multi-criteria optimization.

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Section: Literature Reviewmentioning

confidence: 99%

Use of a Simulation Environment and Metaheuristic Algorithm for Human Resource Management in a Cyber-Physical System

Zhang

Buchmeister

Liu

et al. 2019

Springer Series in Advanced Manufacturing

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“…The term Industry 4.0 is propounded by Germans, aiming for the creation of smart factories, where the relevant technologies could be upgraded by cyber physical space (CPSs), the Internet of Things (IoT), and cloud computing (Penas, Plateaux, Patalano, & Hammadi, 2017). Digital twin would be created by communication with sensor, actuators, humans and so forth in industry 4.0 to transform overall industry value chain (Wang, Wan, Zhang, Li, & Zhang, 2015).…”

Section: Industry 40mentioning

confidence: 99%

Industry 4.0 And Agile Manufacturing

Yaqoob¹,

Azam²

2019

The European Proceedings of Social and Behavioural Sciences

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“…Such systems do not yet exist, but the suggested approaches represent paths to such system. Examples of such paths can be found in [33,44,68].…”

Section: Communicationmentioning

confidence: 99%

“…To respond to customer requirements, information should be accessed and analyzed in real time [23]. The system will investigate the possibility of meeting requirements using existing resources through reconfiguration or cooperation with other factories via CPS and CM requesting services (processes) that are not available in the factory [44]. The system should have a sufficient degree of modularity to accomplish such a reconfiguration.…”

Section: Design Principles Of a Smart Factorymentioning

confidence: 99%

Requirements of the Smart Factory System: A Survey and Perspective

et al. 2018

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Abstract:With the development of Industry 4.0 and the emergence of the smart factory concept, the traditional philosophy of manufacturing systems will change. The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future. An increasing amount of research in both academia and industry is dedicated to transitioning the concept of the smart factory from theory to practice. The purpose of the current research is to highlight the perspectives that shape the smart factory and to suggest approaches and technical support to enable the realization of those perspectives. This paper fills this gap by identifying and analyzing research on smart factories.We suggest a framework to analyze existing research and investigate the elements and features of smart factory systems.

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Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems

Cited by 97 publications

References 46 publications

Use of a Simulation Environment and Metaheuristic Algorithm for Human Resource Management in a Cyber-Physical System

Use of a Simulation Environment and Metaheuristic Algorithm for Human Resource Management in a Cyber-Physical System

Industry 4.0 And Agile Manufacturing

Requirements of the Smart Factory System: A Survey and Perspective

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