Self-organization Based Manufacturing System Configuration Using Multi-agent Learning

DOI

Bibliographic Information

Other Title
  • マルチエージェント学習による生産システムの自己組織的構成法

Abstract

This paper presents a self-organization approach to manufacturing system configuration using multi-agent learning to cope with today's complexity in manufacturing systems. In this proposed approach, the roles of machines emerge, using EANNs, to achieve the objective of the whole system through interaction of the machines on the production floor. It can be expected that each machine can change its role to adapt to the new situation through re-organization processes that occur when the manufacturing environment changes. The feasibility of the proposal is discussed using computer simulation results.

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Details 詳細情報について

  • CRID
    1390282680627703424
  • NII Article ID
    130005027886
  • DOI
    10.11522/pscjspe.2007a.0.377.0
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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