Gas-Stations filling procurement problem with a multi-Size compartments vehicles and full tankers under limited number of trucks

O. Yamani, Mohammed Saddoune
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Abstract

The optimization of Petroleum transport has always been a major concern for oil distribution companies. Dispatching and planning is usually done manually on a daily basis and dispatchers must deal with multiple constraints, lack of resources, shortage risk, time windows, etc. In this paper we develop a model to minimize the cost of delivery and maximize the number of delivered customers taking into account the importance of each customer and their associated risks. The models developed will be tested with real data and compared with the real solutions adopted during manual planning by dispatchers. This paper not only takes into account the standard constraints but also it considers the limited number of trucks, a heterogeneous truck fleet, a full loading truck and customers classifications which are not taken into account together in most papers. Lastly we will also introduce the "Farhood" strategy.
加油站的加油采购问题是多车厢车辆和有限数量卡车下的全油罐车
石油运输的优化一直是石油配送企业关注的主要问题。调度和计划通常是每天手工完成的,调度员必须处理多种约束,缺乏资源,短缺风险,时间窗口等。在本文中,我们开发了一个模型,以最小化交付成本和最大化交付客户的数量,同时考虑到每个客户的重要性及其相关的风险。所开发的模型将用实际数据进行测试,并与调度员人工规划时采用的实际解决方案进行比较。本文不仅考虑了标准约束条件,而且考虑了有限的卡车数量、异构卡车车队、满载卡车和客户分类等问题,而这些问题在大多数文献中没有同时考虑。最后,我们还将介绍“Farhood”战略。
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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