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Optimization of multi- period empty container repositioning and renting in CHINA RAILWAY Express based on container sharing strategy
European Transport Research Review ( IF 4.3 ) Pub Date : 2021-07-27 , DOI: 10.1186/s12544-021-00498-y
Yinying Tang 1, 2, 3 , Si Chen 1, 2, 3 , Yuan Feng 1, 2, 3 , Xinglong Zhu 1, 2, 3
Affiliation  

With the steady growth of trade between China and Europe, the number of trains in CHINA RAILWAY Express has steadily increased under the Belt and Road Initiative. By the end of 2019, more than 21,000 trains have been operated. However, in the development of CHINA RAILWAY Express, the cost of empty container transportation and leasing remains high. So, it is necessary to put forward the strategy of container sharing. Through the optimization of empty container transfer and rent under container sharing, this study aim to reduce the operation cost and put forward the strategy of container sharing. Considering the dynamic characteristics of empty container transportation in reality, this paper constructs a multi-period empty container transportation optimization model with the lowest total cost and the stability of the network, combining with the container sharing strategy. Lyapunov optimization method is used to transform the complex problem into a single period optimization problem, and then genetic algorithm is used to solve the model. Based on the analysis of 13 existing regular train companies, the results show that the model can effectively improve the utilization rate of containers and reduce the cost in the decision-making period. Based on the results and parameters analysis, some suggestions are put forward to optimize the empty container sharing and effectively realize of container sharing.

中文翻译:

基于集装箱共享策略的中铁快运多期空箱重定位出租优化

随着中欧贸易稳步增长,中欧班列在“一带一路”倡议下的班次稳步增长。截至2019年底,已开行列车21000多列。但在中铁快运的发展过程中,空箱运输、租赁成本居高不下。因此,有必要提出容器共享的策略。本研究通过优化集装箱共享下的空箱转运和出租,降低运营成本,提出集装箱共享策略。考虑现实中空箱运输的动态特点,构建了总成本最低、网络稳定的多期空箱运输优化模型,结合容器共享策略。利用李雅普诺夫优化方法将复杂问题转化为单周期优化问题,然后利用遗传算法对模型进行求解。基于对现有13家定期班列公司的分析,结果表明该模型能够有效提高集装箱利用率,降低决策期间的成本。根据结果​​和参数分析,提出优化空箱共享,有效实现容器共享的建议。结果表明,该模型能够有效提高集装箱利用率,降低决策期间的成本。根据结果​​和参数分析,提出优化空箱共享,有效实现容器共享的建议。结果表明,该模型能够有效提高集装箱利用率,降低决策期间的成本。根据结果​​和参数分析,提出优化空箱共享,有效实现容器共享的建议。
更新日期:2021-07-27
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