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Optimisation techniques for planning the petrol replenishment to retail stations over a multi-period horizon

机译:用于在多个时间段内规划向零售站的汽油补给的优化技术

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摘要

The problem of planning the petrol station replenishment problem (PSRP) consists in making simultaneously several decisions, such as determining the minimum number of trucks required, assigning the stations to the available trucks, defining a feasible route for each tank-truck, etc. The objective to be achieved is usually defined as the minimisation of the travelled distance by the tank-trucks to serve all of the distribution stations. Traditional studies in the literature model and solve this problem over a time period of one single day. Only few works have recognised the fact that extending the time horizon to several days may yield important savings for the delivering company. The goal of this paper is to survey the optimisation techniques that support the petrol companies in improving their delivery performance over a multi-period planning horizon. We present the mathematical optimisation models that have been developed for both the t-day and periodic variants of the problem and discuss the heuristic methods so far developed for their solution.
机译:规划加油站补给问题(PSRP)的问题在于同时做出多项决定,例如确定所需的最小卡车数量,将加油站分配给可用卡车,为每个油罐卡车定义可行的路线等。通常要达到的目标是将油罐车为所有分配站服务的行进距离最小化。文献中的传统研究在一天的时间内模拟并解决了这个问题。只有很少的作品认识到以下事实:将时间跨度延长至几天可能为交付公司节省大量资金。本文的目的是调查支持汽油公司在多个时期的计划范围内改善其交付绩效的优化技术。我们介绍了针对问题的t天和周期变体开发的数学优化模型,并讨论了迄今为止为解决方案开发的启发式方法。

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