Distributed optimization method for simultaneous production scheduling and transportation routing on semiconductor fabrication bays

Takahiro Furusho, Tatsushi Nishi, Masami Konishi

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

In this study, we propose a decentralized optimization method for production scheduling, transportation routing for AGVs and motion planning for material handling robots simultaneously. The System consists of a process agent that creates production schedule, AGV agents to generate collision-free routing for multiple AGVs, and a handling agent that determines motion planning for material handling system. Each agent repeats the înforrnation exchange and replanning until a feasible solution is derived. The effectiveness of the proposed method is confirmed by comparing the results of the proposed method and those of the conventional method. Experimental study demonstrates the feasibility of the proposed method.

Original languageEnglish
Pages (from-to)559-575
Number of pages17
JournalInternational Journal of Innovative Computing, Information and Control
Volume4
Issue number3
Publication statusPublished - Mar 2008
Externally publishedYes

Keywords

  • Automated guided vehicle
  • Experimental study
  • FMS
  • Scheduling
  • Simultaneous optimization
  • Transportation

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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