Optimasi Rute Pengiriman dengan Heterogeneous Fleet Vehicle Routing Problem with Time Windows

Hendrawan dan Widyadana, Edwin Hendrawan, I. G. Widyadana
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引用次数: 1

Abstract

PT. X is a distributor of spare parts with 128 customers for Surabaya City and Sidoarjo City. Number of delivery vehicles owned by PT. X is 15. Determination of delivery route owned by PT. X is completed manually based on driver experience. This research is to make a model of determining the route with minimum cost by considering the travel time and the capacity of the vehicle. Model formation is accomplished in accordance with the PT X policy that each colleague can only be served by one vehicle and the maximum shipping time of 7 hours. The model formed is Heterogeneous Fleet Vehicle Routing Problem with Time Windows (HFVRPWTW). The settlement method used is Evolutionary Algorithm (EA) by reviewing 3 cases. The number of vehicles decreased by the model is  with an average difference of 1.67 vehicles. The shipping cost generated by the model is lower than the company for case 1 of 3,155 IDR and case 2 of 25,005 IDR. This condition indicates the model will use less number of vehicles with low shipping costs and large container utilities in 2 cases.
具有时间窗的异构车队车辆路径优化问题
PT.X是泗水市和Sidoarjo市的一家备件经销商,拥有128名客户。PT.X拥有的送货车辆数量为15辆。PT.X拥有的交付路线的确定是根据驾驶员经验手动完成的。本研究旨在通过考虑行驶时间和车辆容量,建立一个以最小成本确定路线的模型。模型形成是根据PT X政策完成的,即每个同事只能由一辆车提供服务,最长运输时间为7小时。所建立的模型是具有时间窗口的异构车队车辆路径问题(HFVRPWTW)。所使用的解决方法是进化算法(EA),通过回顾3个案例。该车型减少的车辆数量平均相差1.67辆。该模型产生的运输成本低于该公司3155印尼盾情况1和25005印尼盾的情况2。这种情况表明,在2种情况下,该模型将使用较少数量的车辆,运输成本较低,并使用大型集装箱公用设施。
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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