基于时间的集覆盖模型和最大覆盖模型分析的配送中心选址

OPSI Pub Date : 2023-06-19 DOI:10.31315/opsi.v16i1.8760
R. Heryanto, Santoso Santoso
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引用次数: 0

摘要

作为供应链目标的配送或交付过程是影响顾客满意的一个因素。为了使供应链在竞争中具有竞争力,交货时间是一个重要的管理因素,以提供高水平的服务价值。可能影响配送或交付的一个因素是配送中心的位置。战略性的配送中心位置将促进和加快配送过程。本文通过对集覆盖模型和最大覆盖模型的时间基础分析,探讨了配送中心选址的确定模型,使配送中心能够在合适的时间和数量下完成配送。本研究以万隆涂料供应链为例进行了数值分析,该供应链具有多个交付集群。每个集群由一些分散分布的建筑材料仓库组成。有一个集群在满足需求和交付时间方面存在问题。所做的分析可以用来确定配送中心的位置,使其能够满足所有消费者的需求。根据计算结果,发现有两个配送中心的位置。两个配送中心都能实现成本最小化的目标函数,满足所有需求。灵敏度分析结果表明,影响定位数确定的因素有很多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Distribution Center Location using Analysis of Time-Based Set Covering Model and Maximal Covering Model Analysis
The distribution or delivery process is one factor that affect customer satisfaction as the goal of supply chain. In order for supply chain to be competitive in competition, delivery time is an important factor to manage, so that it could provide high service level value. One factor that could affects distribution or delivery is distribution center location. A strategic distribution center location would facilitate and speed up distribution process. This research discusses model for determining location of distribution center so that delivery could be made at the right amount and in the right time by analyzing of time-based using set covering model and maximal covering model. The numerical example in this research is case study on paint supply chain in Bandung which has a number of delivering clusters. Each cluster consists of a number of building material stores which are located scattered. There is one cluster that has problems in fulfilling demands and delivery times. The analysis made could be used to determine the distribution center location so that it could serve all consumer demands. Based on the calculation results, it was found that there were two distribution center locations. Two distribution centers could fulfill the objective function of cost minimization and satisfy all demands. The results of the sensitivity analysis show that there are several factors that influence the determination of location number.
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