Review on AGV Scheduling Optimization

Authors

Jianlin Fu, 1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China; ;
Hengzhi Zhang, 2. CSR Qingdao Sifang Co., Ltd., Qingdao 266000, China;
Zhang Jian, 1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China; ;
Liangkui Jiang, 2. CSR Qingdao Sifang Co., Ltd., Qingdao 266000, China;

Abstract

Abstract: AGV scheduling plays an important role in improving the efficiency and reducing manufacturing cost, but it is also a very complex combinatorial optimization procedure. AGV scheduling optimization is divided into three types, AGV static scheduling, AGV dynamic scheduling and AGV simultaneous scheduling with other resources scheduling. Various methods are summarized and listed, including traditional analysis method, modeling and simulation method, intelligent optimization algorithm and hybrid optimization method, and the advantages and disadvantages of each method are also analyzed. The deficiencies of AGV scheduling research are pointed out and the research directions for future are presented.

Recommended Citation

Fu, Jianlin; Zhang, Hengzhi; Jian, Zhang; and Jiang, Liangkui (2020) "Review on AGV Scheduling Optimization," Journal of System Simulation: Vol. 32: Iss. 9, Article 4.
DOI: 10.16182/j.issn1004731x.joss.19-0042
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss9/4

First Page

1664

Revised Date

2019-05-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0042

Last Page

1675

CLC

TP391.9

Recommended Citation

Fu Jianlin, Zhang Hengzhi, Zhang Jian, Jiang Liangkui. Review on AGV Scheduling Optimization[J]. Journal of System Simulation, 2020, 32(9): 1664-1675.

DOI

10.16182/j.issn1004731x.joss.19-0042