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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.
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https://hal-emse.ccsd.cnrs.fr/emse-00449693
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Submitted on : Friday, January 22, 2010 - 1:19:09 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:36 PM

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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, Taylor & Francis, 2005, 18 (2-3), pp.225-235. ⟨10.1080/0951192052000288152⟩. ⟨emse-00449693⟩

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