ABSTRACT
Like Kanban or classic inventory management, Demand Driven Material Requirements Planning (DDMRP) assumes that an order is created when the stock level drops below a given level. The assessment of this level can be continuous or periodic. A periodic evaluation can force better repartition of the load over time. DDMRP characterizes the demand for a product by its average daily demand. This aggregation specifies neither the average size of the elementary demands nor the average duration between two elementary demands. Based on a discrete event simulation model, this study suggests that, at least for a flow-shop organization, the DDMRP method, with continuous order generation, is suitable for large mean time between elementary orders, while periodic observation improves the method for small values of it.
Data availability statement
The data supporting the results obtained for this article is available in the Mendeley data: (https://doi.org/10.17632/f3bs7xkfsf.1).
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Ahlam Azzamouri
Ahlam Azzamouri is currently an assistant professor at EMINES-School of Industrial Management, Mohammed VI Polytechnic University and she works on logistics, production, optimization and simulation. She was a research postdoctoral at EMINES and previously at Polytechnique Montreal. She got her PhD degree in management sciences from Paris Nanterre and EMINES-UM6P on 2018. She has participated in various international conferences and has published various articles in academic journals.
Pierre Baptiste
Pierre Baptiste is a full professor at Polytechnique Montréal and deputy vice-president, academic. He is a specialist in logistics, optimization and optimal control theory. He has done several research contributions in those fields and he is the co-author of book and book-chapters and published several articles in academic journals.
Robert Pellerin
Robert Pellerin is a full professor at Polytechnique Montréal. His current research focuses on industrial engineering, management information systems, logistics and operation management. He is the co-author of several books, book chapters and papers published in academic journals.
Guillaume Dessevre
Guillaume Dessevre is a third year PhD student in industrial engineering at Polytechnique Montréal. He holds a degree in industrial engineering from IMT Mines Albi. During the PhD program, he presented different conference papers.