Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context

The complexity and dynamic of the manufacturing environment are growing due to the changes of manufacturing demand from mass production to mass customization that require variable product types, small lot sizes, and a short lead-time to market. Currently, the automatic manufacturing systems are suit...

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Main Authors: Ngoc-Hien Tran, Hong-Seok Park, Quang-Vinh Nguyen, Tien-Dung Hoang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/16/3325
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spelling doaj-4967d48b8462460280bfaf597dcabc0f2020-11-24T21:21:02ZengMDPI AGApplied Sciences2076-34172019-08-01916332510.3390/app9163325app9163325Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 ContextNgoc-Hien Tran0Hong-Seok Park1Quang-Vinh Nguyen2Tien-Dung Hoang3Faculty of Mechanical Engineering, University of Transport and Communications, Hanoi 117-200, VietnamSchool of Mechanical and Automotive Engineering, Ulsan University, Ulsan 680-749, KoreaFaculty of Mechanical Engineering, University of Transport and Communications, Hanoi 117-200, VietnamFaculty of Mechanical Engineering, Hanoi University of Industry, Hanoi 117-200, VietnamThe complexity and dynamic of the manufacturing environment are growing due to the changes of manufacturing demand from mass production to mass customization that require variable product types, small lot sizes, and a short lead-time to market. Currently, the automatic manufacturing systems are suitable for mass production. To cope with the changes of the manufacturing environment, the paper proposes the model and technologies for developing a smart cyber-physical manufacturing system (Smart-CPMS). The transformation of the actual manufacturing systems to the Smart-CPMS is considered as the next generation of manufacturing development in Industry 4.0. The Smart-CPMS has advanced characteristics inspired from biology such as self-organization, self-diagnosis, and self-healing. These characteristics ensure that the Smart-CPMS is able to adapt with continuously changing manufacturing requirements. The model of Smart-CPMS is inherited from the organization of living systems in biology and nature. Consequently, in the Smart-CPMS, each resource on the shop floor such as machines, robots, transporters, and so on, is an autonomous entity, namely a cyber-physical system (CPS) which is equipped with cognitive capabilities such as perception, reasoning, learning, and cooperation. The Smart-CPMS adapts to the changes of manufacturing environment by the interaction among CPSs without external intervention. The CPS implementation uses the cognitive agent technology. Internet of things (IoT) with wireless networks, radio frequency identification (RFID), and sensor networks are used as information and communication technology (ICT) infrastructure for carrying out the Smart-CPMS.https://www.mdpi.com/2076-3417/9/16/3325industry 4.0smart manufacturing systeminternet of thingscyber-physical systemcognitive agent
collection DOAJ
language English
format Article
sources DOAJ
author Ngoc-Hien Tran
Hong-Seok Park
Quang-Vinh Nguyen
Tien-Dung Hoang
spellingShingle Ngoc-Hien Tran
Hong-Seok Park
Quang-Vinh Nguyen
Tien-Dung Hoang
Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context
Applied Sciences
industry 4.0
smart manufacturing system
internet of things
cyber-physical system
cognitive agent
author_facet Ngoc-Hien Tran
Hong-Seok Park
Quang-Vinh Nguyen
Tien-Dung Hoang
author_sort Ngoc-Hien Tran
title Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context
title_short Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context
title_full Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context
title_fullStr Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context
title_full_unstemmed Development of a Smart Cyber-Physical Manufacturing System in the Industry 4.0 Context
title_sort development of a smart cyber-physical manufacturing system in the industry 4.0 context
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-08-01
description The complexity and dynamic of the manufacturing environment are growing due to the changes of manufacturing demand from mass production to mass customization that require variable product types, small lot sizes, and a short lead-time to market. Currently, the automatic manufacturing systems are suitable for mass production. To cope with the changes of the manufacturing environment, the paper proposes the model and technologies for developing a smart cyber-physical manufacturing system (Smart-CPMS). The transformation of the actual manufacturing systems to the Smart-CPMS is considered as the next generation of manufacturing development in Industry 4.0. The Smart-CPMS has advanced characteristics inspired from biology such as self-organization, self-diagnosis, and self-healing. These characteristics ensure that the Smart-CPMS is able to adapt with continuously changing manufacturing requirements. The model of Smart-CPMS is inherited from the organization of living systems in biology and nature. Consequently, in the Smart-CPMS, each resource on the shop floor such as machines, robots, transporters, and so on, is an autonomous entity, namely a cyber-physical system (CPS) which is equipped with cognitive capabilities such as perception, reasoning, learning, and cooperation. The Smart-CPMS adapts to the changes of manufacturing environment by the interaction among CPSs without external intervention. The CPS implementation uses the cognitive agent technology. Internet of things (IoT) with wireless networks, radio frequency identification (RFID), and sensor networks are used as information and communication technology (ICT) infrastructure for carrying out the Smart-CPMS.
topic industry 4.0
smart manufacturing system
internet of things
cyber-physical system
cognitive agent
url https://www.mdpi.com/2076-3417/9/16/3325
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