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Fleet management for rail car transport of ethanol

机译:铁路车辆乙醇运输的车队管理

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Rail and truck transport modes are the most frequently used in the movement of ethanol. Rail transport, however, with its cost and capacity to carry large amounts of ethanol, has become the preferred choice for shippers. Although ethanol producers are often smaller, there is a need to acquire and manage enough rail cars to meet demand, through lease or purchase. We use a stochastic programming model to determine the optimal number of cars of each type needed over a finite number of time periods. Decision variables include the number of rail cars leased, sub-leased, outsourced, and owned. Additional parameters such as capital costs, use of unit trains or individual transport, running costs, and the opportunity to sublease unused cars for a fixed duration, in the face of stochastic demand are considered. The results indicate that the model with an Average Cost Per Period strategy, based on the Silver-Meal algorithm, for subleasing offered good performance with a single adjustment over the 15-month horizon, compared to a chase strategy that adjusted the number each quarter at considerable setup cost.
机译:铁路和卡车运输方式是乙醇运输中最常用的方式。然而,铁路运输具有成本和承载大量乙醇的能力,已成为托运人的首选。尽管乙醇生产商通常规模较小,但仍需要通过租赁或购买来获取和管理足够的铁路车辆以满足需求。我们使用随机规划模型来确定在有限的时间段内所需的每种类型的汽车的最佳数量。决策变量包括租赁,转租,外包和拥有的铁路车辆的数量。考虑了额外的参数,例如资本成本,使用单元火车或个人交通工具,运行成本以及面对随机需求而有机会在固定时间内将未使用的汽车转租的机会。结果表明,基于追逐策略的模型(基于Silver-Meal算法)用于转租的模型在15个月的时间范围内进行了一次调整,从而提供了良好的性能,而追逐策略的模型是每季度调整一次相当大的安装成本。

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