Ubiquitous Robotic Technology for Smart Manufacturing System

Wang, Wenshan; Zhu, Xiaoxiao; Wang, Li-Yu; Qiu, Qiang; Cao, Qixin

doi:10.1155/2016/6018686

Cited by 16 publications

(15 citation statements)

References 27 publications

(32 reference statements)

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“…Likewise, the increase in the number of degrees of freedom of the robots also increases their complexity, increasing the risk of entrapment and the difficulty for humans to predict their movements [15]. As the manufacturing tasks become more individualized and more flexible, the machines in smart factory are required to do variable tasks collaboratively without reprogramming [59]. The reliability of such devices is more difficult to predict as the complexity of these systems increases [8].…”

Section: Emerging Risks Linked To Complex Systemsmentioning

confidence: 99%

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems

et al. 2019

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Industry 4.0 in the contemporary operating context carries important sources of complexity. This context generates both traditional risks and emerging risks that must be managed. The management of these risks includes both industrial risks and occupational risks, since they are heavily interlinked. The human factor can be considered the main link between both types of risks. Thus, understanding risks originating from human errors and organizational weaknesses as causes of accidents and other disruptions in complex systems requires elaborating sophisticated modeling approaches. Therefore, the objective of this paper is to propose an organizational and human performance approach to improve the emerging risk management linked to the complex systems, like as Human-Machine Interactions (HMI) and Human-Robot Interaction (HRI). To fulfill this objective, we first introduce the concept of emerging risk linked to human factor. Then, we introduce the concept of emerging risk management in the Industry 4.0 context. Under this complex context, we expose the concept considering the current models of risk management. Finally, we discuss how enhancing human and organizational performance can be achieved through risk management in complex systems linked to Industry 4.0. Therefore, we conclude that while Industry 4.0 brings numerous advantages, it must contend with emerging risks and challenges associated with organizational and human factors. These emerging risks include industrial risks as well as occupational risks. Moreover, the human factor aspect of Industry 4.0 is directly linked to industrial emerging and occupational emerging via context of operations. To cope with these new challenges, it is necessary to develop new approaches. One of such approaches is Complex System Governance. This approach is discussed along with the need for adequate organizational and human performance models dealing with, for example, experience from other domains such as nuclear, space, aviation, and petrochemical.

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Section: Emerging Risks Linked To Complex Systemsmentioning

confidence: 99%

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems

et al. 2019

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“…2019, 9, 3325 5 of 24 intelligence. Ubiquitous technology is applied to machines so the machine can be controlled and monitored in real-time [24,39,84].…”

Section: Proposed Model Of Smart Manufacturingmentioning

confidence: 99%

“…2019, 9, 3325 5 of 24 intelligence. Ubiquitous technology is applied to machines so the machine can be controlled and monitored in real-time [24,39,84].Human-machine interface (HMI), smart phone, and personal digital assistant (PDA) are used for interfacing the machine with workers. ICT infrastructure such as manufacturing execution system (MES), enterprise resource planning (ERP) [85], wireless network, RFID system [86], and sensor network [87] enables the CPS to capture its status as well as to communicate with other CPSs.…”

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confidence: 99%

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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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“…The use of simulation in conjunction with other computational resources and threedimensional tools enables the design of production processes and products simultaneously (Wang et al, 2016), and brings advantages such as cost reduction, product or process quality enhancement, and adequate knowledge management, among others (Rodič, 2017). In industries, simulations of products, materials and/or processes in three-dimensional scenarios are already developed, but over the years they will intensify and encompass data in real time (Rüßmann et al, 2015).…”

Section: Pillar 3: Simulationmentioning

confidence: 99%

Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

Silva

Kovaleski

Pagani

2019

FSRJ

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In face of the technological changes derived from Industry 4.0, an initial, gradual and complex process of Technology Transfer (TT) is taking place that strongly relies on the integration between university, industry, and government. In this context, in order to make the Industry 4.0 approach a reality, several requirements need to be met. One of them is the need to qualify people to work in industries. This study aimed to explore the possible changes and perspectives of human work in Industry 4.0. A systematic literature review was carried out following a structured script. 50 were chosen for content analysis, following criteria for qualification and selection of studies. As a result, a number of changes in human skills and tasks, as well as job prospects, were found, standing out the greater flexibility of people, ability for decision-making, among others.

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Ubiquitous Robotic Technology for Smart Manufacturing System

Cited by 16 publications

References 27 publications

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems

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

Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

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