Addressing Production System Failures Using Multi-agent Control

被引:0
|
作者
Gautam, Rajesh [1 ]
Miyashita, Kazuo [2 ]
机构
[1] Univ Tsukuba, Tsukuba, Ibaraki 3058577, Japan
[2] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki 3058564, Japan
关键词
Multiagent Systems; Production Control; Artificial Intelligence;
D O I
10.1299/jamdsm.1.205
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Output in high-volume production facilities is limited by bottleneck machines. We propose a control mechanism by modeling workstations as agents that pull jobs from other agents based on their current WIP level and requirements. During failures, when flows of some jobs are disrupted, the agents pull alternative jobs to maintain utilization of their capacity at a high level. In this paper, we empirically demonstrate that the proposed mechanism can react to failures more appropriately than other control mechanisms using a benchmark problem of a semiconductor manufacturing process.
引用
收藏
页码:205 / 216
页数:12
相关论文
共 50 条
  • [1] Cooperative multi-agent system for production control using reinforcement learning
    Dittrich, Marc-Andre
    Fohlmeister, Silas
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2020, 69 (01) : 389 - 392
  • [2] Control Prosody using Multi-Agent System
    Matsui, Kenji
    Kimura, Kenta
    Perez, Alberto
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2013, 2 (04): : 49 - 56
  • [3] Use of multi-agent system for industrial production control
    Jirsa, J.
    Zezulka, F.
    Marcon, P.
    Pecinka, T.
    Novacek, L.
    Kaczmarczyk, V.
    Arm, J.
    IFAC PAPERSONLINE, 2024, 58 (09): : 205 - 210
  • [4] Modeling of a production system using the multi-agent approach
    Gwiazda, A.
    Sekala, A.
    Banas, W.
    MODTECH INTERNATIONAL CONFERENCE - MODERN TECHNOLOGIES IN INDUSTRIAL ENGINEERING V, 2017, 227
  • [5] The control of Distributed Generation System using Multi-Agent System
    Xu, Qun
    Jia, Xiaobo
    He, Liqin
    ICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings, 2010, 1
  • [6] A Multi-agent Efficient Control System for a Production Mobile Robot
    Dziomin, Uladzimir
    Kabysh, Anton
    Golovko, Vladimir
    Stetter, Ralf
    NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE, ICNNAI 2014, 2014, 440 : 171 - 181
  • [7] Robot control using UML and multi-agent system
    Srovnal, V
    Pavliska, A
    6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: INDUSTRIAL SYSTEMS AND ENGINEERING I, 2002, : 306 - 311
  • [8] Modelling of a production system using the multi-agent network approach
    Sekala, A.
    Gwiazda, A.
    Kost, G.
    Banas, W.
    MODTECH INTERNATIONAL CONFERENCE - MODERN TECHNOLOGIES IN INDUSTRIAL ENGINEERING VI (MODTECH 2018), 2018, 400
  • [9] Formation Control for a Multi-agent System
    Ren Rui
    Liu Zhongren
    Zhou Xun
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 2381 - 2384
  • [10] A Multi-Agent System for Building cOntrol
    Qiao, Bing
    Liu, Kecheng
    Guy, Chris
    2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS, 2006, : 653 - +