A cognitive agent based manufacturing system adapting to disturbances

Park, Hong Seok; Tran, Ngoc-Hien

doi:10.1007/s12555-012-0417-2

Cited by 17 publications

(16 citation statements)

References 30 publications

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“…Cognitive agents are either biological entities including human and animals or artificial entities such as robots and software agents. The paper concerns with the software agent where the concept of the cognitive agent is derived from the conventional agent technology and the intelligent human behaviors (Park, et al, 2012). In the literature, the implementation of the FMS and the above-mentioned IMS use conventional agents, called reactive agents.…”

Section: Core Technologies 1 Cognitive Agentmentioning

confidence: 99%

“…This information is used for carrying out the composed machining process and the cooperation with other agents. The information of work-piece, transporter, and robot agent delivers their own data to support the decisions of other agents and to communicate for deciding where to go (Park, et al, 2012). The mechanism of system for adapting to disturbances is shown in Fig.…”

Section: Development Of a Cloud Based Smart Machining Systemmentioning

confidence: 99%

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Development of a cloud based smart manufacturing system

Park¹,

Tran

2015

JAMDSM

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Smart manufacturing considered as a new trend of modern manufacturing helps to satisfy objectives associated with the productivity, quality, cost and competiveness. The smart manufacturing system is characterized by decentralized, distributed, networked compositions of autonomous systems. The model of smart manufacturing is inherited from the organization of the living systems in biology and nature such as ant colony, school of fish, bee's foraging behaviors, and so on. In which, the resources of the manufacturing system are considered as biological organisms, which are autonomous entities so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and self-healing. In this paper, a cloud based smart manufacturing system for machining transmission cases is considered as research object in which the advanced information and communication technology such as cognitive agent, swarm intelligence, and cloud computing are used to integrate, organize and allocate the machining resources.

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Section: Core Technologies 1 Cognitive Agentmentioning

confidence: 99%

Section: Development Of a Cloud Based Smart Machining Systemmentioning

confidence: 99%

Development of a cloud based smart manufacturing system

Park¹,

Tran

2015

JAMDSM

Self Cite

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“…As presented in [23], a solution based on a swarm of cognitive agents could cope with manufacturing disruption by overcoming the disturbances only through agent cooperation through ant-like pheromone negotiation. The reasoning BDI mechanism allows the disturbance recognition by comparing the current state of machining task (beliefs and intentions) with the desires referring the processed task.…”

Section: Agent-based Implementation For Hmesmentioning

confidence: 99%

“…The service vision of the holonic model is defined in [23], as the intelligent product looking process for intelligent resources that can produce its corresponding physical product. The service oriented interactions between intelligent products and intelligent resources represents the gist of the control.…”

Section: Service Oriented Communication For Hmesmentioning

confidence: 99%

Intelligent open architecture solutions for holonic manufacturing execution systems: Domain « key technologies for manufacturing» perspective

Varvara

2014

2014 IEEE International Conference on Automation, Quality and Testing, Robotics

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During the last decade, the Collaborative Manufacturing research domain has been associated with innovative solutions to challenges of modern manufacturing, namely dynamic changing of product catalog, distribution of resources, unexpected disturbances or heterogeneous manufacturing environments. They refer to interdisciplinary results covering all the production perspectives from organizational level -decentralization and autonomy, structural level -reconfigurable systems, and communication levelinteroperability. This paper makes an assessment of the most interesting achievements on the collaborative manufacturing, based on the IMS2020 project roadmap key research areas, presented on three emerging approaches: holonic organization for mechatronic control; agent-based implementation for distributed intelligent control; service-oriented communication for coordination, cooperation and collaboration. Some details about the role of intelligent products/resources are explicitly presented. Finally, some conclusions on the state of art in the domain are inferred and some future research challenges are identified.

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“…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. Cognitive agent is a computer program with self-characteristics [88]. Model of a cognitive agent based CPS is shown in Figure 2 with core modules such as perception, decision, knowledge, communication, and control.…”

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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A cognitive agent based manufacturing system adapting to disturbances

Cited by 17 publications

References 30 publications

Development of a cloud based smart manufacturing system

Development of a cloud based smart manufacturing system

Intelligent open architecture solutions for holonic manufacturing execution systems: Domain « key technologies for manufacturing» perspective

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

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A cognitive agent based manufacturing system adapting to disturbances

Cited by 17 publications

References 30 publications

Development of a cloud based smart manufacturing system

Development of a cloud based smart manufacturing system

Intelligent open architecture solutions for holonic manufacturing execution systems: Domain &#x00AB; key technologies for manufacturing&#x00BB; perspective

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

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Intelligent open architecture solutions for holonic manufacturing execution systems: Domain « key technologies for manufacturing» perspective