Modelling and simulation for the joint maintenance-inventory optimisation of production systems

Zahedi-Hosseini, F 2019, Modelling and simulation for the joint maintenance-inventory optimisation of production systems , in: Winter Simulation Conference 2018, 9-12 December 2018, Gothenburg, Sweden.

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Abstract

Simulation methodologies are developed to model the joint optimization of preventive maintenance and spare parts inventory for a specific industrial plant under different production configurations. First, spare parts provisioning for a single-line system is considered, with the assumption that the demand is driven by maintenance requirements. The results indicate that a periodic review policy with replenishment as frequent as inspection is cost-optimal. Second, the joint optimization model for a multi-line (parallel) system is developed. It is found that a just-in-time review policy with inspection as frequent as replenishment produces the lowest cost policy. In this latter case, an implication of the proposed methodology is that, where mathematical modelling is intractable, or the use of certain assumptions make them impractical, simulation modelling is an appropriate solution tool. Under both production settings, the long-run average cost per unit time is used as the optimality criterion for the comparison of several policies.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Proceedings ISBN: 978-1-5386-6572-5
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of the 2018 Winter Simulation Conference
Publisher: IEEE
Related URLs:
Depositing User: F Zahedi-Hosseini
Date Deposited: 05 Sep 2018 08:43
Last Modified: 11 Feb 2019 12:47
URI: http://usir.salford.ac.uk/id/eprint/48235

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