Back to Search Start Over

Bi-objective optimization for a two-depot automated storage/retrieval system.

Authors :
Man, Xiaoyi
Zheng, Feifeng
Chu, Feng
Liu, Ming
Xu, Yinfeng
Source :
Annals of Operations Research; Jan2021, Vol. 296 Issue 1/2, p243-262, 20p
Publication Year :
2021

Abstract

Operation management of automated storage and retrieval system (AS/RS) has a great impact on system performance and is a hot research topic. Most existing works for AS/RS operation management address determining storage and retrieval (S/R) machine sequence and minimizing its travel time. In the paper, we study a new bi-objective S/R machine sequencing problem with task release time and due date in a two-depot AS/RS. The objective is to minimize the total travel time of the S/R machine and the total tardiness simultaneously. For the problem, a new bi-objective mixed integer linear programming model is established. Based on problem property analysis, an exact ϵ -constraint method, a non-dominated sorting genetic algorithm II and a promising heuristic are devised for the problem. Especially, the computational results show the efficiency and effectiveness of the proposed algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02545330
Volume :
296
Issue :
1/2
Database :
Complementary Index
Journal :
Annals of Operations Research
Publication Type :
Academic Journal
Accession number :
147928473
Full Text :
https://doi.org/10.1007/s10479-019-03222-1