分送、多行程、多产品和车厢的车辆路线问题模型,用于确定燃料分配路线

Dinda Safitri Ramadhani, N. Masruroh, J. Waluyo
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引用次数: 1

摘要

印度尼西亚的工业发展促使企业在竞争中具有高度的敏感性,考虑到最低的分销成本,以迅速满足消费者的需求。影响配送成本的因素之一是路线的确定。分配路线的确定是车辆路由问题(Vehicle Routing Problem, VRP)。VRP的目的是安排分配路线的顺序,以产生最小的总距离。本研究旨在确定TBBM Rewulu在一个交付周期内的燃油配送路线,以获得最优配送路线并使车辆行驶里程最小。运输使用三种不同容量的油罐车。本研究采用混合整数线性规划(MILP)的数学模型,考虑了分送、多行程、多产品和车厢。LINGO求解器中的分支定界法被用于求解这一问题。该模型在一个简单的案例上进行了测试,使用了8个客户的数据,这些客户的距离和需求不同,由卡车运输。结果表明,该方法不违反任何界限,为所有消费者提供了服务。所建立的数学模型仍然是通用的,因此它可以解决类似的情况。通过添加VRP变量(如时间窗口)和添加产品类型来表示整个现有系统,可以开发模型以供进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODEL OF VEHICLE ROUTING PROBLEM WITH SPLIT DELIVERY, MULTI TRIPS, MULTI PRODUCTS AND COMPARTMENTS FOR DETERMINING FUEL DISTRIBUTION ROUTES
The industrial development in Indonesia encourages companies to have high sensitivity in competing to meet consumer demands promptly by considering minimum distribution costs. One of the factors that can affect distribution costs is route determination. Determining the distribution route is the Vehicle Routing Problem (VRP). The purpose of VRP is to arrange the order of distribution routes to produce a minimum total distance. This study aims to determine the fuel distribution route at TBBM Rewulu in one delivery period to obtain the optimal distribution route and minimize the vehicle mileage. Delivery is carried out using three types of tanker trucks with heterogeneous capacities. This study uses a mathematical model of Mixed Integer Linear Programming (MILP) by considering split delivery, multi trips, multi-products, and compartments.The branch and bound method in the LINGO solver has been used to solve this problem. This model was tested on a simple case using data of 8 customers with different distances and demand shipped by truck. The results obtained indicate that no boundaries are violated, and all consumers are served. The mathematical model built is still general, so it can solve similar cases. A model can be developed for further research by adding VRP variants such as time windows and adding the product types to represent the entire existing system.
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