Abstract
Demand Driven Material Requirements Planning argues that production replenishment orders should be scheduled on the shop floor according to the buffers’ on-hand inventory. However, the actual performance impact of this remains largely unknown. Using discrete event simulation, this study compares scheduling based on the on-hand inventory, with scheduling based on the inventory net flow position. Results of our study show that scheduling based on the former performs best, particularly when multiple production orders are simultaneously generated and progress independently on the shop floor. Our finds give hints that are important to both, industrial practice and software development for production planning and control.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abuhilal, L., Rabadi, G., Sousa-Poza, A.: Supply chain inventory control: a comparison among JIT, MRP, and MRP with information sharing using simulation. Eng. Manag. J. 18(2), 51–57 (2015)
Ptak, C., Smith, C.: Demand Driven Material Requirements Planning (DDMRP). Industrial Press, Norwalk, CT (2016)
Ptak, C., Smith, C.: Orlicky’s Material Requirements Planning 3/E. McGraw Hill Professional, New York (2011)
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)
Lee, C.J. and Rim, S.C.: A mathematical safety stock model for DDMRP inventory replenishment. Mathem. Prob. Eng. (2019)
Dessevre, G., Martin, G., Pierre, B., Lamothe, J., Pellerin, R., Lauras, M.: Decoupled lead time in finite capacity flowshop: a feedback loop approach. In: The 8th International Conference on Industrial Engineering and Systems Management, Shangai, China (2019)
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)
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. (2022)
Panwalkar, S.S., Iskander, W.: A survey of scheduling rules. Oper. Res. 25(1), 45–61 (1977)
Blackstone, J.H., Philips, D.T., Hogg, G.L.: A state-of-the-art survey of dispatching rules for manufacturing job shop operations. Int. J. Prod. Res. 20(1), 27–45 (1982)
Pickardt, C.W., Branke, J.: Setup-oriented dispatching rules – a survey. Int. J. Prod. Res. 50(20), 5823–5842 (2012)
Jodlbauer, H., Huber, A.: Service-level performance of MRP, kanban, CONWIP and DBR due to parameter stability and environmental robustness. Int. J. Prod. Res. 46(8), 2179–2195 (2008)
Fernandes, N.O., Guedes, N., Thürer, M., Ferreira, L.P., Ávila, P.: DDMRP: how to prioritize open orders? Fexible automation and intelligent In: Manufacturing International Conference, Faim (2023). Submitted
Montgomery, D.C.: Design and Analysis of Experiments, 10th edn. Wiley, Hoboken (2019)
Acknowledgements
This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Unit Project Scope UIDB/00319/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Fernandes, N.O., Guedes, N., Thürer, M., Ferreira, L.P., Avila, P., Carmo-Silva, S. (2024). Demand Driven Material Requirements Planning: Using the Buffer Status to Schedule Replenishment Orders. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 799. Springer, Cham. https://doi.org/10.1007/978-3-031-45642-8_41
Download citation
DOI: https://doi.org/10.1007/978-3-031-45642-8_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-45641-1
Online ISBN: 978-3-031-45642-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)