Minimum-cost maximum-satisfaction bi-objective integer programming optimization for empty containers repositioning

Lihua Lu, Hengzhen Zhang, Xiao Zhi Gao, Xiaofeng Wang

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This paper first analyzes the flow of the empty containers repositioning (ECR). A total of three key issues of the ECR: where, how many, and when the empty containers should be transported, are next discussed, which are the most important factors directly influencing the dispatching strategy. A minimum-cost maximum-satisfaction bi-objective integer programming optimization model for the ECR: MCMSM, is further proposed. Two performance indicators: total operational cost of ECR and customers’ satisfaction, are introduced to verify its effectiveness. Simulation results show that it can successfully satisfy the practical empty containers demands of customers while minimizing the total operational cost of the ECR.

Original languageEnglish
Pages (from-to)1631-1638
Number of pages8
JournalICIC Express Letters, Part B: Applications
Volume6
Issue number6
Publication statusPublished - 1 Jan 2015
MoE publication typeA1 Journal article-refereed

Keywords

  • Bi-objective optimization
  • Empty container repositioning
  • Integer programming
  • Minimum-cost maximum-satisfaction model

Fingerprint

Dive into the research topics of 'Minimum-cost maximum-satisfaction bi-objective integer programming optimization for empty containers repositioning'. Together they form a unique fingerprint.

Cite this