Optimization of fleet size and determining the optimal allocation of wagons in minerals transport network: A case study of Iran’s railway system

IF 2.6 Q3 TRANSPORTATION

Journal of Rail Transport Planning & Management Pub Date : 2023-10-12 DOI:10.1016/j.jrtpm.2023.100414

Amin Zakhirehkar Sahih , Saeed Shahmiri , Mohammadreza Momtazi , Mahdi Zohreh

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Abstract

Rail wagon planning is an important type of planning in the rail transport network since its costs are high. Therefore, enhancing the accuracy of fleet planning could result in cost efficiency. In this research, we aim to model and optimize the fleet size and allocation problem in a rail transportation network. We proposed a novel two-step algorithm composed of two meta-heuristic steps to optimize the allocation of the fleet between origins and destinations and to determine the optimal number of wagons. Besides, we provided a case study of Iran’s minerals rail transport network. The results demonstrate that 4925 wagons are required to transport approximately 17.7 million tons of minerals per year, roughly 10% less than the current proportion. The validity of the results was also analyzed by using a comparison between our algorithm and CEPLEX for a test dataset. It is shown that our approach outperforms CEPLEX in terms of speed while retaining the same performance.

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矿产品运输网络中车队规模的优化和货车的优化配置:以伊朗铁路系统为例

铁路货车规划是铁路运输网络中的一种重要规划类型，因为其成本很高。因此，提高车队规划的准确性可以提高成本效益。在本研究中，我们旨在对铁路运输网络中的车队规模和分配问题进行建模和优化。我们提出了一种由两个元启发式步骤组成的新的两步算法，以优化车队在始发地和目的地之间的分配，并确定最佳货车数量。此外，我们还提供了伊朗矿产铁路运输网络的案例研究。结果表明，每年需要4925辆货车运输约1770万吨矿产，比目前的比例减少了约10%。通过将我们的算法与测试数据集的CEPLEX进行比较，还分析了结果的有效性。结果表明，我们的方法在保持相同性能的同时，在速度方面优于CEPLEX。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Rail Transport Planning & Management TRANSPORTATION-

CiteScore

7.10

自引率

8.10%

发文量