Research on hybrid-load AGV dispatching problem for mixed-model automobile assembly line

被引：18
作者：
Zhang, Lixiang [1 ]
Hu, Yaoguang [1 ]
Guan, Yu [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China
来源：
52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) | 2019年 / 81卷
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
AGV; dispatching; hybrid-load; genetic algorithm; automobile assembly lines; MANUFACTURING SYSTEMS; GENETIC ALGORITHM;
D O I：
10.1016/j.procir.2019.03.251
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automobile industry has marched into an age of mass customization, and begun to use mixed-model assembly lines. The demand for materials in each assembly station is constantly changing. To meet with the demand, this paper proposes a hybrid-load AGV dispatching model, which allocates different types of AGVs for different sizes of materials. With an attempt to minimize the total cost of logistics system, the genetic algorithm is employed to solve a real problem and analyze this model. The results indicate that hybrid-load AGV dispatching model is better than single-load or multi-load model for mixed-model automobile assembly lines. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：1059 / 1064
页数：6
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