Optimization for Line of Cars Manufacturing Plant using Constrained Genetic Algorithm

被引：1

作者：

Kamei, Keiji ^{[1
]}

Arai, Takafumi ^{[2
]}

机构：

[1] Nishinippon Inst Technol, Dept Prod Syst, 1-11 Aratsu, Fukuoka, Fukuoka 8000394, Japan

[2] Nissan Motor Kyushu Co Ltd, 1-3 Shinhama Cho, Fukuoka, Fukuoka 8000395, Japan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2018年 / 5卷 / 02期

关键词：

Constrained Genetic Algorithm; Plant Optimization; Industrial Application; Car manufacturing;

D O I：

10.2991/jrnal.2018.5.2.13

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

Recently, improvement of production efficiency on cars manufacturers is required. However, that improvements under existing circumstances are depending on experience and intuition by workers. We propose to objectively and efficiently improve a production line based on a GA. The difficulty of applying a GA is the number of racks and boxes is predetermined, and so we apply constrained GA. The results of simulation for virtual production line show that our proposal succeeded in reducing about 10 seconds per a car compared with random positioning.

引用

页码：131 / 134

页数：4