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

Zahedi-Hosseini, F

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.

Citation

Zahedi-Hosseini, F. (2018, December). Modelling and simulation for the joint maintenance-inventory optimisation of production systems. Presented at Winter Simulation Conference 2018, Gothenburg, Sweden

• Presentation Conference Type: Other
• Conference Name: Winter Simulation Conference 2018
• Conference Location: Gothenburg, Sweden
• Start Date: Dec 9, 2018
• End Date: Dec 12, 2018
• Acceptance Date: Jun 5, 2018
• Online Publication Date: Feb 4, 2019
• Publication Date: Feb 4, 2019
• Deposit Date: Sep 5, 2018
• Publicly Available Date: Dec 13, 2018
• DOI: https://doi.org/10.1109/WSC.2018.8632283
• Publisher URL: https://doi.org/10.1109/WSC.2018.8632283
• Related Public URLs: http://meetings2.informs.org/wordpress/wsc2018/; https://ieeexplore.ieee.org/Xplore/home.jsp
• Additional Information: Additional Information : Proceedings ISBN: 978-1-5386-6572-5; Event Type : Conference