Agent-based modeling and mapping of a manufacturing system

Wang, S.L; Xia, Hongjian; Liu, F; Tao, Gui Bao; Zhang, Zhengwen

doi:10.1016/s0924-0136(02)00624-6

Cited by 18 publications

(6 citation statements)

References 4 publications

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“…Because the standard is open, various languages can be used to exchange knowledge and can be integrated in a KQML message (Brenner et al , 1998). It is built on the open internet standards and it is compatible with the TCP/IP, SMTP, and FTP, which are some other commonly used protocols for computer connection and file transfer (Wang et al , 2002).…”

Section: Distributed Agent Modulementioning

confidence: 99%

An intelligent forward quality enhancement system to achieve product customization

Lau

Lee

et al. 2005

Industrial Management &Amp; Data Systems

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PurposeThis paper proposes an infrastructural framework, involving various emerging technologies, for the development of an agent‐based quality enhancement system with the distinct feature of the ability to cope with the potential quality problems from various customers' requirements.Design/methodology/approachThe proposed system is equipped with the “distributed problem solving” feature which automatically identifies and divides the potential quality problems into sub‐problems and directs straight to the associated agents that are capable of interacting and negotiating with each other to support customer needs. The new feature of this agile quality enhancement system is characterized with the incorporation of the quality mining engine through the capabilities of the online analytical processing, case‐based reasoning, fuzzy logic and artificial neural networks, achieving the optimization of the performance of organizations.FindingsIn this paper, the detailed architecture and the components included in the proposed system are described with a case study to validate its feasibility of application in actual environment.Originality/valueThe proposed system is to enhance customer satisfaction by automating problem solving procedures in all business processes.

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Section: Distributed Agent Modulementioning

confidence: 99%

An intelligent forward quality enhancement system to achieve product customization

Lau

Lee

et al. 2005

Industrial Management &Amp; Data Systems

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“…In a simultaneously loaded station, Hermann (2013) developed a simulationbased priority rules for flow shop scheduling. Wang et al (2002), considered agent-based modeling and mapping for the manufacturing system. They identified different types of system agents' such as static agents, resources agents, mobile agents, user interface agents, domain agents gateway agents, and factory agents, among others to formulate the entire manufacturingsystem architecture.…”

Section: Agent-based Modeling Approachmentioning

confidence: 99%

Developing Agent Based Heuristic Optimisation System for Complex Flow Shops With Customer-Imposed Production Disruptions

Adediran

Al-Bazi

2018

JICT

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The study of complex manufacturing flow-shops has seen a number of approaches and frameworks proposed to tackle various production-associated problems. However, unpredictable disruptions, such as change in sequence of order, order cancellation and change in production delivery due time, imposed by customers on flow-shops that impact production processes and inventory control call for a more adaptive approach capable of responding to these changes. In this research work, a new adaptive framework and agent-based heuristic optimization system was developed to investigate the disruption consequences and recovery strategy. A case study using an Original Equipment Manufacturer (OEM) production process of automotive parts and components was adopted to justify the proposed system. The results of the experiment revealed significant improvement in terms of total number of late orders, order delivery time, number of setups and resources utilization, which provide useful information for manufacturer's decision-making policies.

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“…This definition is related to Wooldridge's. Although these definitions are not the same, all researchers think that an agent has the following same basic properties [5][6][7][8].…”

Section: Agent and Multiagent Systemmentioning

confidence: 99%

Agent-based modelling and control of tele-robotic welding system

Zhang

Gao

Zhang

et al. 2006

Proceedings of the Institution of Mechanical Engineers, Part B:

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A new tele-robotic welding system (TRWS) with more intelligent welding sensors was investigated. In order to overcome the control difficulties of the TRWS in traditional teleoperation methods, a new control strategy, ‘macroscopic teleoperation, microscopic autonomous’, was presented. Based on the new control strategy, the tele-robotic welding process is analysed, which requires the coordination among operators and machines, and then utilize the advantages of operators and all machines respectively and fully. Therefore the TRWS was modelled and controlled based on multiagent system technologies. Lastly, some practice welding experiments were carried out and the results demonstrated that the agent-based TRWS could complete the practice welding tasks very well.

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Agent-based modeling and mapping of a manufacturing system

Cited by 18 publications

References 4 publications

An intelligent forward quality enhancement system to achieve product customization

An intelligent forward quality enhancement system to achieve product customization

Developing Agent Based Heuristic Optimisation System for Complex Flow Shops With Customer-Imposed Production Disruptions

Agent-based modelling and control of tele-robotic welding system

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