大众集团物流运用运筹学优化供应商开发

IF 1.1 4区 管理学 Q4 MANAGEMENT Informs Journal on Applied Analytics Pub Date : 2023-08-17 DOI:10.1287/inte.2022.0026
Sönke Wieczorrek, Christian Thies, Christian Weckenborg, M. Grunewald, T. S. Spengler
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引用次数: 0

摘要

大众集团物流(VWGL)负责大众集团旗下汽车品牌的物流和供应流程。在这种情况下,供应商开发对于流程合作伙伴之间高效可靠的物料流动至关重要。近年来,VWGL在物流中实施了供应商发展的协作方法,其中识别干扰供应商并应用改进措施以提高其物流绩效至关重要。在此背景下,VWGL启动了一个项目,研究如何有效地实施供应商发展措施,以提高VWGL供应基地的整体物流绩效。针对供应商开发的具体问题,提出了一种将蒙特卡罗仿真与背包模型相结合的运筹学方法。该方法包括三个阶段:(1)数据准备,(2)测量评估和(3)测量分配。该方法基于VWGL现有的18个小货车网络进行了验证。我们发现,与VWGL之前的程序相比,整个网络平均可以节省31%的成本。一个新的工作流程有助于我们的方法,以提高其在实际应用中的潜力可持续。历史:本文被审稿。
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Volkswagen Group Logistics Applies Operations Research to Optimize Supplier Development
Volkswagen Group Logistics (VWGL) is responsible for the logistics and supply processes of the automotive brands of the Volkswagen Group. In this context, supplier development is vital for efficient and reliable material flows between the process partners. In recent years, VWGL implemented a collaborative approach for supplier development in logistics wherein it is crucial to identify disrupting suppliers and apply improvement measures to increase their logistics performance. Against this background, VWGL initiated a project to examine how supplier development measures can be implemented efficiently to improve the overall logistics performance of VWGL’s supply base. This paper presents the developed operations research approach, which integrates Monte Carlo simulation and a knapsack model on the specific problem of supplier development. The approach consists of three stages: (1) data preparation, (2) measure evaluation, and (3) measure allocation. The approach is validated based on 18 existing less-than-truckload networks of VWGL. We find that, on average, considerable cost savings of 31% can be achieved throughout the networks compared with VWGL’s previous procedure. A new workflow facilitates our approach to lift its potential in practical application sustainably. History: This paper was refereed.
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