Penyelesaian Split Delivery VRP dengan Ant Colony Optimization (Studi Kasus: Pengiriman Produk di PT Sinarmas Distribusi Nusantara)

Anita Br Ginting, Reza Fayaqun, M. Bisma
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Abstract

PT Sinarmar Distribusi distributes its products to all Distribution Center (DC) every day. Currently PT Sinarmas Distribution Nusantara uses a predetermined route every day using Colt Diesel Double vehicles with maximum transport capacity of 500 cartons.   Currently the number of products carried by each vehicle never reaches its maximum carrying capacity. PT Sinarmas Distribusi Nusantara wants vehicle transport capacity to be used optimally. This route problem at PT Sinarmas Distribusi Nusantara can be defined as Split Delivery Vehicle Routing Problem (SDVRP). Ant Colony Optimization (ACO) is a metaheuristic that can be used to solve SDVRP. By using ACO the resulting route is always shorter than the current route and the number of vehicles used is smaller.
利用蚁群优化解决分批交付 VRP(案例研究:PT Sinarmas Distribusi Nusantara 的产品交付)
PT Sinarmar Distribusi 每天向所有配送中心(DC)配送产品。目前,PT Sinarmas Distribution Nusantara 每天使用 Colt Diesel Double 车辆按照预先确定的路线进行配送,最大运输能力为 500 箱。 目前,每辆车运载的产品数量从未达到其最大运载能力。PT Sinarmas Distribusi Nusantara 希望车辆的运输能力得到最佳利用。PT Sinarmas Distribusi Nusantara 公司的这一路由问题可定义为分批配送车辆路由问题(SDVRP)。蚁群优化(ACO)是一种元探索方法,可用于解决 SDVRP 问题。通过使用蚁群优化算法,得到的路线总是比当前路线短,使用的车辆数量也更少。
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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