Demand Driven MRP: assessment of a new approach to materials management
Autor: | Romain Miclo, Matthieu Lauras, Steven A. Melnyk, Jacques Lamothe, Franck Fontanili |
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Přispěvatelé: | Centre Génie Industriel (CGI), IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), University of Newcastle [Australia] (UoN) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
021103 operations research Material requirements planning Computer science Strategy and Management MRP 0211 other engineering and technologies Kanban 02 engineering and technology Management Science and Operations Research variability management Industrial and Manufacturing Engineering Materials management Manufacturing engineering [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Demand driven Lean Variability management Demand Driven MRP |
Zdroj: | International Journal of Production Research International Journal of Production Research, Taylor & Francis, 2019, 57 (1), pp.166-181. ⟨10.1080/00207543.2018.1464230⟩ |
ISSN: | 0020-7543 1366-588X |
DOI: | 10.1080/00207543.2018.1464230⟩ |
Popis: | Corrigendum : https://doi.org/10.1080/00207543.2018.1505031; International audience; Demand driven material requirements planning or DDMRP is a recent and promising material management method that has been developed and implemented in the practitioner world. Essentially, DDMRP represents a rethinking of the basic MRP logic. By incorporating elements drawn from Lean Systems and the Theory of Constraints and by introducing new features such as dynamic buffers, DDMRP modifies the basic MRP logic so that it is better able to satisfy customer demands in an increasingly demanding, turbulent and dynamic environment. Claims have been made by firms that DDMRP represents a superior planning approach. In this paper, we introduce and explore DDMRP. In addition, we evaluate its effectiveness relative to two other widely accepted approaches – MRP II and Kanban/Lean production – through a series of structured computer simulation experiments. The results strongly indicate that DDMRP does represent a superior approach – one that warrants further academic study. |
Databáze: | OpenAIRE |
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