具有成本最小化和客户服务水平最大化的时间窗口的多目标位置路由问题

Nararya Ahmad Dharmika, Sugandhini Cakra Maruti, S. Sakti, Anna Maria Sri Asih
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引用次数: 0

摘要

分销是公司利润的关键因素,因为它直接影响到整个供应链的成本。定位路径问题(LRP)是一个众所周知的概念,以减少设施的位置和车辆的成本。目前,在LRP中,时间方面已经被考虑了很多,以便为公司带来更好的服务水平,因为它显示了供应链的响应速度。在完成服务水平目标时,时间窗口被用来衡量交付是否在计划时间内成功。此外,建议LRP研究采取多目标方法,而这种方法并不多见。因此,开发和测试具有多个目标(如成本和服务水平)的模型是最重要的。针对这一具体问题,采用小案例(4个配送中心和8个零售商)的精确目标规划方法对模型进行了设计和测试。本文提出了带时间窗的多目标定位路由问题建模方法,以最小化总成本和最大化服务水平为目标。它给出了一套解决方案,根据所考虑的场景来决定正确的配送中心、车辆和路线。还提供了成本和服务水平之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Location Routing Problem with Time Windows for Cost Minimization and Customer Service Level Maximization
Distribution is a key factor for a company's profit as it directly impacts the overall supply chain cost. Location Routing Problem (LRP) is a well-known concept to reduce facility location and vehicle costs. Currently, the time aspect has been considered a lot in LRP to bring better service levels for a company as it shows how responsive a supply chain is. In completing service level objective, time windows have been used to measure whether the delivery is successful in the planned time or not. Moreover, LRP research has been advised to take on a multiple-objective approach, which are not available much. Therefore developing and testing a model with multiple objectives such as cost and service level is at most important. The model for this specific problem is designed and tested using exact goal programming method for small-case instance, i.e. 4 distribution centers and 8 retailers. This research has brought modeling of multi-objective location routing problem with time windows to minimize the total cost and maximize the service level (MOLRPTW-SL). It gives a set of solutions for deciding the right distribution center, vehicles, and routes depending on the scenario considered. The trade-off between cost and service level is also provided.
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