Optimization on joint scheduling of yard allocation and transfer manpower assignment for automobile RO-RO terminal

Di Zhang, Feng Chen and Ziqiao Mei

Transportation Research Part E: Logistics and Transportation Review, 2023, vol. 177, issue C

Abstract: This paper considers a joint scheduling problem of macro-level yard section allocation and transfer manpower assignment in automobile RO-RO terminals. The joint scheduling problem is formulated as a mixed integer programming model with the objective of minimizing the total necessary driving distance of vehicles. Relaxation cases derived from a series of ingenious problem analyses and dual segmentation techniques based on mathematical derivations are presented. In addition, compressed strategies are applied to reduce the complexity of our problem. Then, we develop an amalgamated algorithm consisting of a rule-based stepwise algorithm, a reinforced column generation, and a multi-root branch-and-bound. Numerical experiments based on random data and a case study based on real operation data are conducted to evaluate the performance of our algorithms. The results show that the proposed algorithms are capable of generating high-quality solutions efficiently and are of great practical value in daily operations.

Keywords: RO-RO terminal; Optimization model; Yard allocation; Manpower assignment; Column generation; Branch-and-bound (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.tre.2023.103256

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