TY - JOUR
T1 - 自动导引车与机器集成调度问题研究现状
AU - Wu, Bin
AU - Ding, Yuchao
AU - Abla, Basri
N1 - Publisher Copyright:
© 2023 Editoral Office of Mining Safety and Environmental Protection. All rights reserved.
PY - 2023/3/15
Y1 - 2023/3/15
N2 - With the wide application of automated guided vehicles(AGV), the cooperation between machines and AGVs in flexible manufacturing system(FMS)is paid more and more attention. The research of AGV and machine integrated scheduling mainly includes machine allocation, process sequencing, AGV allocation of transport tasks and AGV path planning. This problem is a very complex combinatorial optimization problem, which has important academic significance and application value for its research. Based on the characteristics of the problem, the latest research literatures at home and abroad are reviewed from two aspects of model and algorithm. The constraints and optimization objectives of the existing models are classified in detail, and the representative results of the existing algorithms are summarized from five aspects: genetic algorithm, hybrid optimization algorithm and simulation optimization algorithm and so on. On this basis, the shortcomings of existing research are pointed out, and the content and direction of future research are put forward.
AB - With the wide application of automated guided vehicles(AGV), the cooperation between machines and AGVs in flexible manufacturing system(FMS)is paid more and more attention. The research of AGV and machine integrated scheduling mainly includes machine allocation, process sequencing, AGV allocation of transport tasks and AGV path planning. This problem is a very complex combinatorial optimization problem, which has important academic significance and application value for its research. Based on the characteristics of the problem, the latest research literatures at home and abroad are reviewed from two aspects of model and algorithm. The constraints and optimization objectives of the existing models are classified in detail, and the representative results of the existing algorithms are summarized from five aspects: genetic algorithm, hybrid optimization algorithm and simulation optimization algorithm and so on. On this basis, the shortcomings of existing research are pointed out, and the content and direction of future research are put forward.
KW - automated guided vehicles
KW - flexible manufacturing shop
KW - hybrid algorithm
KW - integrated scheduling
KW - intelligent optimization
UR - http://www.scopus.com/inward/record.url?scp=105007330685&partnerID=8YFLogxK
U2 - 10.3778/j.issn.1002-8331.2207-0427
DO - 10.3778/j.issn.1002-8331.2207-0427
M3 - 文章
AN - SCOPUS:105007330685
SN - 1002-8331
VL - 59
SP - 1
EP - 12
JO - Computer Engineering and Applications
JF - Computer Engineering and Applications
IS - 6
ER -