Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: analytical and simulation approaches
Identifieur interne : 003293 ( Hal/Corpus ); précédent : 003292; suivant : 003294Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: analytical and simulation approaches
Auteurs : Nidhal Rezg ; Anis Chelbi ; Xiaolan XieSource :
- International Journal of Computer Integrated Manufacturing [ 0951-192X ] ; 2005.
English descriptors
- mix :
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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DOI: 10.1080/0951192052000288152
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Hal:emse-00449693Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<idno type="doi">10.1080/0951192052000288152</idno>
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<profileDesc><langUsage><language ident="en">English</language>
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<textClass><keywords scheme="author"><term xml:lang="en">Computer Aided Design & Manufacturing</term>
<term xml:lang="en">Computer Integrated Manufacturing (CIM)</term>
<term xml:lang="en">Flexible Manufacturing Systems</term>
<term xml:lang="en">Lean Manufacturing</term>
<term xml:lang="en">Manufacturing Technology</term>
<term xml:lang="en">Production Systems & Automation</term>
</keywords>
<classCode scheme="halDomain" n="spi.gproc">Engineering Sciences [physics]/Chemical and Process Engineering</classCode>
<classCode scheme="halDomain" n="sdv.ib">Life Sciences [q-bio]/Bioengineering</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
</textClass>
<abstract xml:lang="en">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.</abstract>
<particDesc><org type="consortium">INRIA-LORRAINE de Metz</org>
<org type="consortium">Ecole Supérieure des Sciences et Techniques de Tunis</org>
</particDesc>
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