A novel parameterised approximation approach based on bi-level programming for integration transport scheduling problem

Bing Li, Hua Xuan, Xinyu Yang and Xueyuan Wang

Journal of the Operational Research Society, 2019, vol. 70, issue 2, 212-225

Abstract: The study described in this paper attempts to integrate vehicle utilisation decisions with optimisation of loading and unloading operations. The interaction between vehicle assignment decisions and yard operations decisions, and their combined effects on capacity and efficiency of freight transportation systems, are the focus of this paper. This type of problem is named as the integration transport scheduling problem and formulated as a bi-level programming model. The interactive correlation functions for incremental revenue predicated parameters (IRP) and incremental cost parameter (ICP) are proposed. The approximation procedures for IRP parameters and ICP parameters are given. Introducing, respectively, IRP into the upper level model and ICP into the lower level model, the bi-level programming model with predicted control parameters (BLP-PCP) is presented. The alternating algorithm by updating predicted control parameters (AA-PCP) is obtained. Computational results indicate that the BLP-PCP model with AA-PCP methodology can generate a better solution and show reasonable computing time.

Date: 2019
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DOI: 10.1080/01605682.2017.1421856

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