Highlights Waiting time of trucks is considered explicitly for space planning for the first time. Different priorities among trucks in the yard operation are considered in the model. Heuristic algorithms proposed for the non-LP model provide near optimal solutions. Solutions from this study are significantly better those from a previous study.
Abstract This paper proposes a nonlinear mathematical model for solving the problem of allocating storage space to future container arrivals in container terminal yards by considering the waiting times of trucks in the yard, called stochastic space allocation model (SSAM). Three heuristic procedures based on the Frank-Wolfe algorithm and the subgradient optimization method are proposed to efficiently solve the problem. From the numerical experiment, it is found that the proposed algorithms for SSAM provide solutions with the gaps between the objective values and the optimal values are no greater than 0.69%. It was also found that the best algorithm among three proposed algorithms (FWMP-S) obtained the average 7.89% improvement in the objective value compared with a previous model with a handling capacity constraint instead of considering waiting time (DSAM). It is found that the SSAM reduces the average system time of transporters for ship operation and that of road trucks by 17.39 and 7.14%, respectively, compared with the DSAM. This study proposes the most appropriate heuristic algorithm depending on the problem characteristics of the SSAM.
Space planning considering congestion in container terminal yards
Transportation Research Part B: Methodological ; 158 ; 52-77
2022-02-20
26 pages
Article (Journal)
Electronic Resource
English
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