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 | |
| Publication status | Published - 1998 Jan 1 |
| Externally published | Yes |
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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
Cite this
A Design Technique of AGF Flow Path by Considering Machine Layout. / Sessomboon, Weerapat; Sugiyama, Makoto; Irohara, Takashi; Yoshimoto, Kazuho.
In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 64, No. 617, 01.01.1998, p. 370-376.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A Design Technique of AGF Flow Path by Considering Machine Layout
AU - Sessomboon, Weerapat
AU - Sugiyama, Makoto
AU - Irohara, Takashi
AU - Yoshimoto, Kazuho
PY - 1998/1/1
Y1 - 1998/1/1
N2 - 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.
AB - 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.
KW - AGV Flow Path
KW - Automated Guided Vehicle
KW - Design
KW - Genetic Algorithm
KW - Layout Planning
KW - Machine Layout
KW - Material Handling Equipment
KW - Simulated Annealing
UR - http://www.scopus.com/inward/record.url?scp=0001634078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0001634078&partnerID=8YFLogxK
U2 - 10.1299/kikaic.64.370
DO - 10.1299/kikaic.64.370
M3 - Article
AN - SCOPUS:0001634078
VL - 64
SP - 370
EP - 376
JO - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
JF - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
SN - 0387-5024
IS - 617
ER -