Parts Layout Decision of Cell Production Assembly Line using Genetic Algorithm and Virtual System

被引：0

作者：

Yamamoto, Hidehiko ^{[1
]}

Watanabe, Tomokazu ^{[2
]}

Yamada, Takayoshi ^{[1
]}

Nakamura, Masahiro ^{[3
]}

Elshaer, Raafat H. ^{[4
]}

机构：

[1] Gifu Univ, Dept Human & Informat Syst, Gifu, Japan

[2] Gifu Univ, Grad Sch Engn, Gifu, Japan

[3] Lexer Res Inc, Tokyo, Japan

[4] Zagazig Univ, Zagazig, Egypt

来源：

PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11) | 2011年

关键词：

Genetic algorithm; Parts layout locations; Cell production; Virtual production;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the problems of cell production system is how to decide the parts layout locations. Traditionally, the problem is solved using trial and error method which takes a lot of efforts and time. In this paper, we propose a Virtual Assembly Cell-production system (VACS) for the cell production assembly line. The VACS use a genetic algorithm (GA) system to find a reasonable solution and a virtual production (VP) simulator for giving us a visibility of that solution in the production system. The validation and the efficiency of the proposed VACS system are tested on ten varieties of a product. The simulator results show that the VACS system is capable of getting good solution in a reasonable computational time when compared to the traditional one.

引用

页码：885 / 888

页数：4

共 4 条

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