A simulation optimization approach for solving the dual-cycling problem in container terminals

Qingcheng Zeng, Ali Diabat, Qian Zhang

Research output: Contribution to journalArticle

Abstract

Dual cycling is an operation technique whereby quay cranes perform loading and unloading operations simultaneously in the same ship bay. In this article, a mixed-integer programming model for quay crane dual-cycling scheduling is developed. The model considers the stowage plan of outbound containers and the operation sequence of quay cranes. To solve the model, a heuristic method, called bi-level genetic algorithm, is designed. Meanwhile, a simulation optimization method integrating the intelligent decision mechanism of the optimization algorithm and evaluation function of simulation model is proposed. Numerical experiments indicate that dual cycling can reduce the operation time of quay cranes compared to the method of scheduling loading and unloading separately. Moreover, the model and algorithms developed in this article can tackle quay crane dual-cycling problem efficiently.

Original languageEnglish (US)
Pages (from-to)806-826
Number of pages21
JournalMaritime Policy and Management
Volume42
Issue number8
DOIs
StatePublished - Nov 17 2015

Keywords

  • bi-level genetic algorithm
  • container terminals
  • quay crane dual cycling
  • simulation optimization

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation
  • Ocean Engineering
  • Management, Monitoring, Policy and Law

Fingerprint Dive into the research topics of 'A simulation optimization approach for solving the dual-cycling problem in container terminals'. Together they form a unique fingerprint.

Cite this