Production Planning and Control in Multi-Stage Assembly Systems:An Assessment of Kanban, MRP, OPT (DBR) and DDMRP by Simulation

Thurer, Matthias and Fernandes, Nuno Octavio and Stevenson, Mark (2022) Production Planning and Control in Multi-Stage Assembly Systems:An Assessment of Kanban, MRP, OPT (DBR) and DDMRP by Simulation. International Journal of Production Research, 60 (3). pp. 1036-1050. ISSN 0020-7543

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Multi-stage assembly systems where the demand for components depends on the market-driven demand for end products, are commonly encountered in practice. Production Planning and Control (PPC) systems for this production context include Kanban, Materials Requirement Planning (MRP), Optimised Production Technology (OPT), and Demand Driven MRP (DDMRP). All four of these PPC systems are widely applied in practice and literature abounds on each of these systems. Yet, studies comparing these systems are scarce and remain largely inconclusive. In response, this study uses simulation to assess the performance of all four PPC systems under different levels of bottleneck severity and due date tightness. Results show that MRP performs the worst, which can be explained by the enforcement of production start dates. Meanwhile, Kanban and DDMRP perform the best if there is no bottleneck. If there is a bottleneck then DDMRP and OPT perform the best, with DDMRP realising lower inventory levels. If there is a severe bottleneck, then the performance results for DDMRP and OPT converge. This identification of contingency factors not only resolves some of the inconsistencies in the literature but also has important implications for the applicability of these four PPC systems in practice.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Production Research
Additional Information:
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 2 Dec 2020, available online:
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Deposited On:
05 Nov 2020 12:10
Last Modified:
12 Jun 2022 00:31