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A Multiple Objective Model for Vehicle Routing Problem with Time Windows: A Case Study

机译:带时间窗的车辆路径问题的多目标模型:案例研究

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摘要

Green transportation has emerged as an efficient way to promote a sustainable supply chain. Transportation activities have significant impact on the whole supply chain at any decision levels. At an operational level, vehicle routing decisions are one of the most critical determinants of the release of transportation emissions. Therefore, this study develops a mathematical model, with an aim to construct routes that simultaneously minimize total cost and total CO_(2) emissions from the transportation activities of a case study located in Can Tho City, Vietnam. A multiple-objective model with the consideration of different vehicle loading capacity, and time windows is then solved using a Weighted Tchebycheff method. Results show that route selection has a positive contribution toward a better balance between economic and environmental objectives.
机译:绿色运输已成为促进可持续供应链的有效途径。运输活动在任何决策级别上都会对整个供应链产生重大影响。在运营层面,车辆路线决定是运输排放释放的最关键决定因素之一。因此,本研究开发了一个数学模型,旨在构建一条路线,以使越南芹T市的案例研究的运输活动中的总成本和总CO_(2)排放量最小化。然后,使用加权Tchebycheff方法求解考虑了不同车辆装载能力和时间窗的多目标模型。结果表明,路线选择对于更好地平衡经济和环境目标具有积极的作用。

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