Framework for the Design of a Demand-Driven MRP (DDMRP) Model from Case Study
Demand-Driven Material Requirements Planning (DDMRP) represents a significant advancement in the evolution of Material Requirements Planning (MRP) by addressing the challenges of variability in manufacturing environments.Unlike traditional methods that focus on managing variability, DDMRP proactively optimizes production and inventory management by strategically positioning and sizing inventory buffers within complex Bills of Materials (BOMs).This paper aims to achieve three primary objectives: (i) to identify the theoretical foundations for the application of DDMRP through a systematic literature review; (ii) to develop a comprehensive framework outlining key Manufacturing Planning and Control (MPC) systems essential for DDMRP implementation; and (iii) to provide a detailed analysis of the methodology's core components.The research employs the PRISMA statement to enhance the clarity and transparency of the systematic review process.The analysis categorizes the reviewed literature into five critical themes: strategic inventory positioning, safety stock sizing and management, buffer profiles and level determination, and demand-driven planning.The proposed framework uncovers significant gaps in the current literature and highlights valuable opportunities for further research.Additionally, it serves as a guide for policymakers and supply chain professionals, providing insights into the selection of sustainable strategies for improving operational efficiency and responsiveness in supply chain management.
Authors
- Roberto Bernardo Usca-Veloz (ORCID: https://orcid.org/0000-0001-6600-052X)
- Franklin Reyes-Soriano (ORCID: https://orcid.org/0000-0002-0480-9689)
- Paola Martina Pucha Medina (ORCID: https://orcid.org/0000-0002-4712-7661)
- Juan Carlos Muyulema Allaica (ORCID: https://orcid.org/0000-0002-9663-8935)
- Jorge Fernando Hidalgo-Hidalgo
Publication Details
- Journal
- Journal Européen des Systèmes Automatisés
- Published
- 2025-02-28
- DOI
- https://doi.org/10.18280/jesa.580205
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of the Pacific