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A Solution Approach to the Vehicle Routing Problem with Perishable Goods

机译:利用易腐货物的车辆路由问题解决方案

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This paper focuses on a special case of vehicle routing problem where perishable goods are considered. Deliveries have to be performed until a due date, which may vary for different products. Storing products is prohibited. Since late deliveries have a direct impact on the revenues for these products, a precise demand prediction is important. In our practical case the product demands and vehicle driving times for the product delivery are dependent on weather conditions, i.e., temperatures, wind, and precipitation. In this paper the definition and a solution approach to the Vehicle Routing Problem with Perishable Goods is presented. The approach includes a procedure how historical weather data is used to predict demands and driving times. Its run time and solution quality is evaluated on different data sets given by the MOPTA Competition 2018.
机译:本文重点介绍了易腐货物的车辆路线问题的特殊情况。 必须在截止日期之前执行交付,这可能因不同产品而异。 禁止存储产品。 由于延迟交付对这些产品的收入有直接影响,因此精确的需求预测是重要的。 在我们的实际情况下,产品供应的产品需求和车辆驾驶时间取决于天气条件,即温度,风和降水。 在本文中,提出了利用易腐货物的车辆路由问题的定义和解决方案方法。 该方法包括历史天气数据如何用于预测需求和驾驶时间的过程。 它的运行时间和解决方案质量在2018年Mopta竞争给出的不同数据集上进行评估。

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