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A Novel Two-Stage Heuristic for Solving Storage Space Allocation Problems in Rail–Water Intermodal Container Terminals

by Yimei Chang 1,* and Xiaoning Zhu 2
1
School of Logistics, Beijing Wuzi University, Beijing 101149, China
2
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(10), 1229; https://doi.org/10.3390/sym11101229
Received: 5 August 2019 / Revised: 7 September 2019 / Accepted: 21 September 2019 / Published: 2 October 2019
In the past, most researchers have paid attention to the storage space allocation problem in maritime container terminals, while few have studied this problem in rail–water intermodal container terminals. Therefore, this paper proposes a storage space allocation problem to look for a symmetry point between the efficiency and effectivity of rail–water intermodal container terminals and the unbalanced allocations and reallocation operations of inbound containers in the railway operation area, which are two interactive aspects. In this paper, a two-stage model on the storage space allocation problem is formulated, whose objective is to balance inbound container distribution and minimize overlapping amounts, considering both stacking principles, such as container departure time, weight and stacking height, and containers left in railway container yards from earlier planning periods. In Stage 1, a novel simulated annealing algorithm based on heuristics is introduced and a new heuristic algorithm based on a rolling horizon approach is developed in Stage 2. Computational experiments are implemented to verify that the model and algorithm we introduce can enhance the storage effect feasibly and effectively. Additionally, two comparison experiments are carried out: the results show that the approach in the paper performs better than the regular allocation approach and weight constraint is the most important influence on container storage. View Full-Text
Keywords: rail–water intermodal container terminal; intermodal transportation; storage space allocation; overlapping amount; two-stage heuristic algorithm rail–water intermodal container terminal; intermodal transportation; storage space allocation; overlapping amount; two-stage heuristic algorithm
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Chang, Y.; Zhu, X. A Novel Two-Stage Heuristic for Solving Storage Space Allocation Problems in Rail–Water Intermodal Container Terminals. Symmetry 2019, 11, 1229.

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