用近邻法优化肉鸡配送路线

Agus Mulyadi, S. Meirizha, Obbie Fanuddin
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引用次数: 0

摘要

Global Putra Swasembada 是一家肉鸡配送公司,市场区域位于北干巴鲁市。在配送过程中,车辆仍有剩余容量,应用于装载其他地区的客户订单。因此,形成的旅行团数量和使用的车辆数量都会增加,从而导致配送成本居高不下。因此需要一种有效的配送方法来优化配送路线。研究采用最近邻法确定新路线。结果显示,现有路线的距离由原来的 151.3 公里变为 128.8 公里,节省了 22.5 公里。以前使用 4 辆车的数量变为 3 辆最佳车辆。计算配送成本后,公司支付的成本由 28,590,800 印尼盾变为 21,744,000 印尼盾,那么每月可减少成本 6,846,800 印尼盾或 14%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimasi Rute Distribusi Ayam Broiler dengan Metode Nearest Neighbour
Global Putra Swasembada is a company that distributes broiler chickens with a market area in Pekanbaru City. During the distribution process, the vehicle still has remaining capacity, which should be used to load customer orders in other areas. So, the number of tours formed and the number of vehicles used increases, which results in high distribution costs. An effective and efficient distribution method is needed to optimize distribution routes. The research uses the nearest-neighbour method to determine new routes. The results show that the distance of the existing route, which was previously 151.3 km, became 128.8 km, saving 22.5 km. The previous number of vehicles using 4 to 3 optimal vehicles. After calculating the distribution costs, the company paid the cost of Rp. 28,590,800 became Rp. 21,744,000, then there is a reduction in costs of Rp—6,846,800 or 14% every month.
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