Simulation optimization iteration approach on traffic integrated yard allocation problem in transshipment terminals

Chenhao Zhou (), Qitong Zhao () and Haobin Li ()
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Chenhao Zhou: School of Management, Northwestern Polytechnical University
Qitong Zhao: School of Business, Singapore University of Social Sciences
Haobin Li: National University of Singapore

Flexible Services and Manufacturing Journal, 2021, vol. 33, issue 3, No 3, 663-688

Abstract: Abstract To improve the efficiency of the container terminals, we propose a simulation optimization iteration approach to integrate the yard allocation problem (YAP) with the vehicle congestion problem. YAP is formulated as a mixed integer programming model to reduce the total job travel time. A discrete event simulation model is developed to simulate the terminal operation and traffic movement within the terminal. The approach solves two models iteratively to improve the allocation decisions. Experiment results show that this approach can effectively generate yard allocation decisions, which reduce the overall traffic time comparing with traditional intuitive rules.

Keywords: Simulation optimization iteration; Yard allocation problem; Vehicle congestion reduction; Discrete event simulation; Transshipment terminal (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10696-020-09393-5

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