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The Reduction of Transportation Cost in Transportation Company by Evolutionary methods

机译：通过进化方法减少运输公司的运输成本

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The objective of this research is to study and solve the problem of transportation route management by a heuristic method. From studying the working process before improvement, the transportation company works with random truck routes, which is compared to last month's route reference. The results show that the company's original work resulted in an average goods volume of only 21.69 cubic meters on a truck, with a total distance of 13,680 kilometers. This research has adopted the Nearest Neighbor Approach and Evolutionary functions in Excel Solver. From the routing results, it was found that Evolutionary methods provide better results than the closest neighbor methods. When compared to the original data of the company, the total distance after the adjustment has been reduced from 13,680 kilometers to a total distance of 10,468.12 kilometers. From the application of the heuristic method of truck routes, it was found that the area used on the trucks after the improvement was able to increase the average production volume from 21.69 cubic meters to 29.83 cubic meters.
机译：本研究的目的是通过启发式方法研究和解决运输路线管理问题。通过在改进之前研究工作过程，运输公司与随机卡车路线合作，与上个月的路线参考相比。结果表明，该公司的原创作品占卡车上仅21.69立方米的平均货物量，总距离为13,680公里。该研究采用了Excel求解器的最近邻近的方法和进化功能。从路由结果中，发现进化方法提供比最近邻的方法更好的结果。与公司原始数据相比，调整后的总距离从13,680公里减少到总距离为10,468.12公里。从卡车路线的启发式方法的应用，发现卡车在改善后使用的区域能够将平均产量从21.69立方米增加到29.83立方米。

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