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

Xiaoyi Man, Feifeng Zheng, Feng Chu (), Ming Liu and Yinfeng Xu
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Xiaoyi Man: Donghua University
Feifeng Zheng: Donghua University
Feng Chu: Fuzhou University
Ming Liu: Tongji University
Yinfeng Xu: Donghua University

Annals of Operations Research, 2021, vol. 296, issue 1, No 10, 243-262

Abstract: 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 $$\epsilon $$ 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.

Keywords: Container terminal; Automated storage/retrieval system; Two-depot; Bi-objective optimization; Mixed integer linear programming; Algorithms (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10479-019-03222-1

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