Designing guide-path networks for automated guided vehicle system by using the Q-learning technique

Jae Kook Lim, Joon Mook Lim, Kazuho Yoshimoto, Kap Hwan Kim, Teruo Takahashi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper suggests a Q-learning technique for designing guide-path networks for automated guided vehicle systems. This study uses the total travel time as the decision criteria for constructing guide-path layouts. The Q-learning technique is applied to the estimation of the travel time of vehicles on each segment of the guide-path. Computational experiments were performed to evaluate the performance of the proposed algorithm. The simulation results showed that the proposed algorithm is superior to Kim and Tanchoco's (1993) in terms of average travel time, interference time, and number of deliveries.

Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalComputers and Industrial Engineering
Volume44
Issue number1
DOIs
Publication statusPublished - 2003 Jan 1

Keywords

  • Automated guided vehicle system
  • Beam search
  • Guide-path network design
  • Q-learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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