Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: analytical and simulation approaches - Mines Saint-Étienne Access content directly
Journal Articles International Journal of Computer Integrated Manufacturing Year : 2005

Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: analytical and simulation approaches

Abstract

This paper presents a joint optimal inventory control and preventive maintenance strategy for a randomly failing production unit which supplies an assembly line operating according to a just-in-time configuration. The production unit is submitted to a maintenance action as soon as it reaches a certain age T or at failure; whichever occurs first. In order to palliate perturbations caused by breakdowns and by planned maintenance actions both with random durations, a buffer stock is built up to ensure the supply of the assembly line at a constant rate. A mathematical model is developed to evaluate the average cost per time unit of the proposed strategy. Due to the complexity of the mathematical model and to some approximation assumptions, a second approach based on simulation and experimental design is developed. It allows us to simulate the proposed policy and to generate a second order response surface for easy computation of the optimal values of the decision variables which are the age T at which preventive maintenance must be performed, and the buffer stock level h.
No file

Dates and versions

emse-00449693 , version 1 (22-01-2010)

Identifiers

Cite

Nidhal Rezg, Anis Chelbi, Xiaolan Xie. Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: analytical and simulation approaches. International Journal of Computer Integrated Manufacturing, 2005, 18 (2-3), pp.225-235. ⟨10.1080/0951192052000288152⟩. ⟨emse-00449693⟩
181 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More