A Design Technique of AGF Flow Path by Considering Machine Layout

Weerapat Sessomboon, Makoto Sugiyama, Takashi Irohara, Kazuho Yoshimoto

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Automated Guided Vehicle systems (AGVs) are important in modern manufacturing systems. One of the important issues in the design of AGVs is to determine the direction of AGV, which is known as AGV flow path design problem. Though a number of significant research has been conducted on this problem, most of them do not take into consideration the effect of machine layout when designing AGV flow path. In this paper, an integrated technique employing Genetic Algorithm (GA) and Simulated Annealing (SA) to solve AGV flow path design problem is proposed. GA is used to search for AGV flow path direction, while SA is simultaneously used to search for machine layout.

Original languageEnglish
Pages (from-to)370-376
Number of pages7
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume64
Issue number617
DOIs
Publication statusPublished - 1998 Jan 1

Keywords

  • AGV Flow Path
  • Automated Guided Vehicle
  • Design
  • Genetic Algorithm
  • Layout Planning
  • Machine Layout
  • Material Handling Equipment
  • Simulated Annealing

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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