GA-Based Scheduling for Transporting and Manufacturing Mobile Robots in FMS

被引：1
|
作者：
Lam Nguyen [1 ]
Dang, Quang-Vinh [1 ]
Nielsen, Izabela [2 ]
机构：
[1] Vietnamese German Univ, Dept Global Prod Engn & Management, Binh Duong, Vietnam
[2] Aalborg Univ, Dept Mech & Mfg Engn, Aalborg, Denmark
来源：
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, (DCAI 2016) | 2016年 / 474卷
关键词：
Genetic algorithms; Mobile robots; FMS; AUTOMATED GUIDED VEHICLES; GENETIC ALGORITHM; MACHINES;
D O I：
10.1007/978-3-319-40162-1_59
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With a high degree of flexibility and automation, flexible manufacturing system (FMS) consisting of a number of automatic machine tools and mobile robots is capable of coping with customized product requirements. In addition to transporting, mobile robots participate in processing some value-added operations on some specific machines such as pre-assembly or quality inspection if required. This paper presents a genetic algorithm to deal with the problem of sequencing of operations, routing of mobile robots, and operations assignment for mobile robots in FMS with the aim to minimize the makespan. The performance of the algorithm is demonstrated by a generated numerical example.
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页码：555 / 563
页数：9
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