Supply chain planning with free trade zone and uncertain demand

IF 8.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2024-09-24 DOI:10.1016/j.tre.2024.103771

Haoying Sun , Manoj Vanajakumari , Chelliah Sriskandarajah , Subodha Kumar

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引用次数: 0

Abstract

Our research is inspired by the subcontracting problem at a major oil field services company in North America. The company’s supply chain consists of suppliers bringing raw materials to a Free Trade Zone (FTZ). The FTZ receives raw materials in full containers from various suppliers, and then the company ships them to various plants (e.g. oil excavation sites) frequently via subcontractors. This allows the company to focus on managing only the inbound transportation and inventory at the FTZ. The demand for each raw material is stochastic. We derive an algorithm running at polynomial time for the stochastic programming formulation and perform

μ -

regret Robust Optimization to handle the demand uncertainty. We also use a Sample Average Approximation method to alleviate the high computational requirement of the robust optimization model. The modeling approach demonstrated by this paper not only meets the needs of this specific company and industry but also can be applied to other industries with similar supply chain structures.

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自由贸易区和不确定需求下的供应链规划

我们的研究受到北美一家大型油田服务公司分包问题的启发。该公司的供应链包括将原材料运到保税区（FTZ）的供应商。保税区从不同的供应商那里以整箱的形式接收原材料，然后公司通过分包商频繁地将原材料运往不同的工厂（如石油挖掘现场）。这样，公司就可以只专注于管理进货运输和保税区的库存。每种原材料的需求都是随机的。我们为随机程序设计推导出一种多项式时间运行算法，并执行 μ- regret Robust Optimization 来处理需求的不确定性。我们还使用了样本平均逼近法来缓解鲁棒优化模型的高计算要求。本文所展示的建模方法不仅满足了该特定公司和行业的需求，还可应用于具有类似供应链结构的其他行业。

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 E-Logistics and Transportation Review 工程技术-工程：土木

CiteScore

16.20

自引率

16.00%

发文量

285

审稿时长

62 days

期刊介绍： Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.