Integrated Saving Matrix - Branch And Bound Method to Optimize Sugar Product’s Distribution Route

Ryan Rafli Devanda, F. Pulansari
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Abstract

The problem in product delivery is always being late and the company has not utilized the capacity of distribution transportation equipment to the fullest. This study aims to determine the shortest distribution route and minimize distribution costs using the Saving Matrix -Branch and Bound methods. In this study, the Saving Matrix method use to produce the shortest route distance, while the Branch and Bound method is applied to optimize a route distance. The results found that the Saving Matrix method followed by the Branch and Bound method reduced routes from the previous seven routes to five routes. Meanwhile, The proposed distribution model shortens the route of 23.6% compared to the current, and cost savings is 23%. To conclude, the model of distribution distance affects the costs savings and optimum route
综合节省矩阵-分支定界法优化糖产品配送路线
产品交付的问题总是很迟,公司没有充分利用配送运输设备的能力。本研究的目的是利用节省矩阵-分支和界的方法来确定最短的配送路线和最小化配送成本。在本研究中,节省矩阵法用于产生最短的路径距离,分支定界法用于优化路径距离。结果表明,采用节省矩阵法后再采用分支绑定法,将原来的7条路由减少到5条路由。同时,与现有配送模式相比,所提出的配送模式缩短了23.6%的路线,节约了23%的成本。综上所述,配送距离模型影响成本节约和最优路线
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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