Using Autonomous Intelligence to Build a Smart Shop Floor

Tang, Dunbing; Zheng, Kun; Zhang, Haitao; Sang, Zelei; Zhang, Zequn; Xu, Chao; Espinosa-Oviedo, Javier A.; Vargas-Solar, Genoveva; Zechinelli-Martini, José-Luis

doi:10.1016/j.procir.2016.10.039

Cited by 23 publications

(13 citation statements)

References 8 publications

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“…The broader concept here refers to the machines that are equipped with data capturing devices. These devices are designed so that they can communicate with other machines and systems, in order to fulfill certain predetermined objectives ( Tang et al., 2016 ). The research carried out during the recent years has seen much emphasis on the advent of smart manufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

Multistage implementation framework for smart supply chain management under industry 4.0

Shao

Liu

et al. 2021

Technological Forecasting and Social Change

130

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Section: Literature Reviewmentioning

confidence: 99%

Multistage implementation framework for smart supply chain management under industry 4.0

Shao

Liu

et al. 2021

Technological Forecasting and Social Change

130

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“…On the shop floor, the introduction of a cyber-physical system could facilitate architectures such as the one presented by Tang et al (2016). Figure 5 illustrates the concept of a smart factory and highlights the need for interdisciplinary research.…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

Production scheduling and control technologies: a systematic literature review

Santos

Frazzon

Pimentel

2017

Anais Do Encontro Nacional De Engenharia De Produção

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Recent works have been directed towards the development of new scheduling and control of production processes technologies. The increasing complexity in production demands more dynamicity in decision making. In this context, this work aims to systematically classify published literature and report the state of the art in cyberphysical systems and industry 4.0. Regarding scheduling and control, this work encompasses concepts and studies the convergence of different research themes, contextualizing its potential. Main trends will be outlined and application areas will be investigated. On this direction, the work identifies the current gaps and discusses future prospects.

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“…In the manufacturing field, Industry 4.0 is characterized by the autonomous systems with cyber and physical representation [20][21][22] and advance in ICT [23] such as cloud computing [24], internet of things (IoT), internet of service (IoS) [25][26][27][28][29], agent technology [30][31][32][33][34][35], cognitive technology [36,37], big data [38,39], data mining [40,41], and artificial intelligence [42][43][44][45][46][47]. Smart manufacturing systems (SMS) built with intelligent cyber-physical systems (CPSs) are the heart of the fourth industrial revolution [21,48].…”

Section: Introductionmentioning

confidence: 99%

“…The development of manufacturing not only considers technological innovations but also economic, social and environmental effects [4,7]. In the literature, many novel paradigms known as intelligent manufacturing systems (IMS) [8][9][10][11][12][13][14][15] have been proposed such as holonic [16], biological [17], reconfigurable [18], and cloud manufacturing systems [19].In the manufacturing field, Industry 4.0 is characterized by the autonomous systems with cyber and physical representation [20][21][22] and advance in ICT [23] such as cloud computing [24], internet of things (IoT), internet of service (IoS) [25][26][27][28][29], agent technology [30][31][32][33][34][35], cognitive technology [36,37], big data [38,39], data mining [40,41], and artificial intelligence [42][43][44][45][46][47]. Smart manufacturing systems (SMS) built with intelligent cyber-physical systems (CPSs) are the heart of the fourth industrial revolution [21,48].…”

mentioning

confidence: 99%

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

Tran

Park²,

Nguyen

et al. 2019

Applied Sciences

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Featured Application: A proposed smart manufacturing system has the ability to adapt to manufacturing changes. Abstract: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.Currently, manufacturing demands are changing from mass production to mass customization, which is focused on exclusive and individualized demand [2,3]. This trend requires the manufacturing systems to have the ability to adapt to the fast change of the manufacturing environment. To face this challenge, the new trend of manufacturing system development is to apply autonomous behaviors inspired from living systems and nature to have the sustainable manufacturing systems. Industry 4.0 enables the realization of sustainable manufacturing using the ubiquitous information and communication technology (ICT) infrastructure [4]. National strategies for developing smart manufacturing systems are focused on by both developing and developed countries [5,6]. The development of manufacturing not only considers technological innovations but also economic, social and environmental effects [4,7]. In the literature, many novel paradigms known as intelligent manufacturing systems (IMS) [8][9][10][11][12][13][14][15] have been proposed such as holonic [16], biological [17], reconfigurable [18], and cloud manufacturing systems [19].In the manufacturing field, Industry 4.0 is characterized by the autonomous systems with cyber and physical representation [20]...

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Using Autonomous Intelligence to Build a Smart Shop Floor

Cited by 23 publications

References 8 publications

Multistage implementation framework for smart supply chain management under industry 4.0

Multistage implementation framework for smart supply chain management under industry 4.0

Production scheduling and control technologies: a systematic literature review

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

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