An Integrated programming model for storage management and vehicle scheduling at container terminals

Yue Wu, Jiabin Luo, Dali Zhang, Ming Dong

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we study the optimization of yard operations, which are critical for the terminal efficiency. A linear mixed integer programming (MIP) model is proposed for scheduling different types of equipment and planning the storage strategy in an integrated way. We also investigate a nonlinear mixed integer programming (NLMIP) model to reduce the number of constraints and the computational time. A set of numerical results are carried out for the comparison between the linear model and the nonlinear model. Finally, we propose a genetic algorithm for the MIP model to illustrate how large scale problems can be solved and to show the effect of different factors on the performances of the optimization model.
Original languageEnglish
Pages (from-to)13-27
JournalResearch in Transportation Economics
Volume42
Issue number1
DOIs
Publication statusPublished - Jun 2013

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