An integrated programming model for storage management and vehicle scheduling at container terminals |
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Authors: | Yue Wu Jiabin Luo Dali Zhang Ming Dong |
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Institution: | 1. School of Management, University of Southampton, Southampton SO17 1BJ, UK;2. Sino-US Global Logistics Institute, Antai Management School, Shanghai Jiaotong University, Shanghai, China |
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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. |
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Keywords: | Integrated scheduling Container port terminal Mixed integer programming Genetic algorithm |
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