Skip to main navigation Skip to search Skip to main content

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

  • Xiaoyi Man
  • , Feifeng Zheng
  • , Feng Chu
  • , Ming Liu
  • , Yinfeng Xu
  • Donghua University
  • CNRS-UMR8030 and Université Paris-Saclay
  • Fuzhou University
  • Tongji University

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)243-262
Number of pages20
JournalAnnals of Operations Research
Volume296
Issue number1-2
DOIs
StatePublished - Jan 2021
Externally publishedYes

Keywords

  • Algorithms
  • Automated storage/retrieval system
  • Bi-objective optimization
  • Container terminal
  • Mixed integer linear programming
  • Two-depot

Fingerprint

Dive into the research topics of 'Bi-objective optimization for a two-depot automated storage/retrieval system'. Together they form a unique fingerprint.

Cite this