Aspects on the optimal decoupling point setting problem

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-02-14 DOI:10.1016/j.amc.2025.129343
Herbert Jodlbauer , Matthias Dehmer , Frank Emmert-Streib
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引用次数: 0

Abstract

Demand-Driven Material Requirement Planning (DDMRP) represents a combination of traditional Material Requirements Planning (MRP) and the reorder point method. A key consideration in DDMRP revolves around determining the optimal position of decoupling points, also referred to as strategic inventory positions. This article addresses the question of where these decoupling points should be strategically positioned, utilizing a directed universal graph derived from the Bill of Materials (BOM) to formalize the optimal decoupling point setting problem. To address this challenge, analytical formulas are developed. The analytical formulas utilize parameters such as delivery time, demand variance, replenishment time, lot sizes, holding costs, and service levels. These formulas provide insights into key characteristics of optimal decoupling points. The obtained results can be categorized into arguments advocating for decoupling points to be positioned either more upstream or more downstream. Furthermore, we derive specific characteristics that an optimal decoupling point position should possess. This research contributes valuable knowledge for practitioners seeking to enhance the efficiency and effectiveness of their DDMRP implementation.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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