A Design Technique of AGF Flow Path by Considering Machine Layout

Weerapat Sessomboon; Makoto Sugiyama; Takashi Irohara; Kazuho Yoshimoto

doi:10.1299/kikaic.64.370

A Design Technique of AGF Flow Path by Considering Machine Layout

Weerapat Sessomboon, Makoto Sugiyama, Takashi Irohara, Kazuho Yoshimoto

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	370-376
Number of pages	7
Journal	Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume	64
Issue number	617
DOIs	https://doi.org/10.1299/kikaic.64.370
Publication status	Published - 1998
Externally published	Yes

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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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.",

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year = "1998",

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AU - Sugiyama, Makoto

AU - Irohara, Takashi

AU - Yoshimoto, Kazuho

PY - 1998

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