Optimizing automotive maritime transportation in Ro-Ro and container shipping

IF 5.8 1区 工程技术 Q1 ECONOMICS
Lu Zhen , Jingwen Wu , Shuaian Wang , Siyu Li , Miaomiao Wang
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引用次数: 0

Abstract

This study investigates an automotive maritime transportation planning problem, considering roll-on/roll-off (Ro-Ro) shipping and container shipping. Automobiles are distributed from a manufacturer to overseas dealers through maritime transportation. This transportation process involves three key decisions: the choice of maritime transportation mode for the automobiles, the shipping volume of the ships, and the routes of the ships. We investigate the above decisions and explore how to allocate automobiles to ships and ports to minimize total transportation costs. Considering the differences between Ro-Ro shipping and container shipping, we propose a mixed integer linear programming model to optimize maritime transportation plans for automobile distribution. We design a column generation algorithm to solve the model, in which an acceleration tactic is proposed to shorten the time required to resolve the pricing problem. The effectiveness of our algorithm is validated using experiments with both real and synthetic data based on an ocean shipping case and an offshore case. The computational results show that our algorithm can yield an optimal solution in a significantly shorter time than the CPLEX solver. Furthermore, we draw managerial implications from our sensitivity analyses that can be useful to automobile manufacturers. In addition, three extensions that consider additional real-world factors are discussed to generalize the findings to more generic contexts.
优化汽车海运的滚装和集装箱运输
本研究研究汽车海上运输规划问题,考虑滚装/滚装运输和集装箱运输。汽车从制造商通过海运分发给海外经销商。这一运输过程涉及三个关键决策:汽车海上运输方式的选择、船舶的运输量和船舶的航线。我们研究了上述决策,并探讨了如何将汽车分配到船舶和港口以最小化总运输成本。考虑到滚装运输与集装箱运输的不同,提出了一种混合整数线性规划模型来优化汽车配送的海上运输计划。我们设计了一种列生成算法来求解该模型,其中提出了一种加速策略来缩短求解定价问题所需的时间。通过实际数据和综合数据的实验,验证了该算法的有效性。计算结果表明,与CPLEX求解器相比,该算法可以在较短的时间内得到最优解。此外,我们从敏感性分析中得出管理意义,这对汽车制造商有用。此外,还讨论了考虑其他现实世界因素的三个扩展,以便将研究结果推广到更一般的上下文中。
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
Transportation Research Part B-Methodological
Transportation Research Part B-Methodological 工程技术-工程:土木
CiteScore
12.40
自引率
8.80%
发文量
143
审稿时长
14.1 weeks
期刊介绍: Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.
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