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2024 | OriginalPaper | Chapter

DDMRP as Production Control Policy in a Two-Product Closed-Loop Supply Chain

Authors : Roberto Rosario Corsini, Antonio Costa, Sergio Fichera, Jose M. Framinan

Published in: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems

Publisher: Springer Nature Switzerland

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Abstract

The chapter investigates the implementation of Demand-Driven Material Requirements Planning (DDMRP) as a production control policy in a two-product closed-loop supply chain. It introduces a simulation model to emulate the dynamics of the supply chain, focusing on the factory node's decision-making on product changeovers. The study evaluates the impact of DDMRP's main control parameters—lead-time factor and variability factor—on the supply chain's performance, particularly the fill rate. A full-factorial Design of Experiments (DoE) is employed to investigate the influence of remanufacturing capacity constraints and DDMRP parameters. The results demonstrate the significant impact of these factors on the supply chain's performance, emphasizing the need for optimal parameter calibration. The chapter concludes by highlighting the importance of further research into the influence of DDMRP on other performance indicators and the potential use of optimization techniques to enhance supply chain performance.

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previous chapter How to Prioritize Replenishment Orders in Demand Driven MRP: A Simulation Study

next chapter Development of a Production Planning and Control Method Through Productivity Analysis of Bottlenecks

Miclo, R., Lauras, M., Fontanili, F., Lamothe, J., Melnyk, S.A.: Demand driven MRP: assessment of a new approach to materials management. Int. J. Prod. Res. 57(1), 166–181 (2019)CrossRef

Ptak, C., Smith, C.: Orlicky’s Material Requirements Planning. McGraw-Hill Education, New York (2011)

Velasco Acosta, A.P., Mascle, C., Baptiste, P.: Applicability of demand-driven MRP in a complex manufacturing environment. Int. J. Prod. Res. 58(14), 4233–4245 (2020)CrossRef

Thürer, M., Fernandes, N.O., Stevenson, M.: Production planning and control in multi-stage assembly systems: an assessment of Kanban, MRP, OPT (DBR) and DDMRP by simulation. Int. J. Prod. Res. 60(3), 1036–1050 (2022)CrossRef

Azzamouri, A., Baptiste, P., Pellerin, R., Dessevre, G.: Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method. Int. J. Prod. Res. pp. 1–22 (2022)

Cuartas, C., Aguilar, J.: Hybrid algorithm based on reinforcement learning for smart inventory management. Journal of Intelligent Manufacturing, pp. 1–27 (2022)

Damand, D., Lahrichi, Y., Barth, M.: Parameterisation of demand-driven material requirements planning: a multi-objective genetic algorithm. International Journal of Production Research, pp. 1–22 (2022)

Corsini, R.R., Costa, A., Cannella, S., Framinan, J.M.: Analysing the impact of production control policies on the dynamics of a two-product supply chain with capacity constraints. International Journal of Production Research, 61(6), 1913–1937 (2023)CrossRef

Dominguez, R., Ponte, B., Cannella, S., Framinan, J.M.: On the dynamics of closed-loop supply chains with capacity constraints. Comput. Ind. Eng. 128, 91–103 (2019)CrossRef

10.

Corsini, R.R., Costa, A., Fichera, S.: Comparing production control policies in two-product supply chain dynamics. In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), pp. 1002–1007. IEEE (2021)

11.

Corsini, R.R., Fichera, S., Costa, A.: Assessing the effect of a novel production control policy on a two-product, failure-prone manufacturing/distribution scenario. In: Carrino, L., Tolio, T. (eds.) Selected Topics in Manufacturing. LNME, pp. 1–20. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-82627-7_1CrossRef

Title: DDMRP as Production Control Policy in a Two-Product Closed-Loop Supply Chain
Authors: Roberto Rosario Corsini
Antonio Costa
Sergio Fichera
Jose M. Framinan
Publisher: Springer Nature Switzerland
Book: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
Print ISBN: 978-3-031-38164-5

Electronic ISBN: 978-3-031-38165-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-38165-2_13