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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

Identifieur interne : 003293 ( Hal/Corpus ); précédent : 003292; suivant : 003294

Modeling 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 Xie

Source :

RBID : Hal:emse-00449693

English descriptors

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.

Url:
DOI: 10.1080/0951192052000288152

Links to Exploration step

Hal:emse-00449693

Le document en format XML

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<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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<title xml:lang="en">Modeling and optimizing a joint inventory control and preventive maintenance strategy for a randomly failing production unit: analytical and simulation approaches</title>
<author role="aut">
<persName>
<forename type="first">Nidhal</forename>
<surname>Rezg</surname>
</persName>
<idno type="halAuthorId">100191</idno>
<affiliation ref="#struct-2353"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Anis</forename>
<surname>Chelbi</surname>
</persName>
<email>anis.chelbi@planet.tn</email>
<idno type="halAuthorId">357823</idno>
<affiliation ref="#struct-75115"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Xiaolan</forename>
<surname>Xie</surname>
</persName>
<email>xie@emse.fr</email>
<idno type="halAuthorId">459490</idno>
<affiliation ref="#struct-9711"></affiliation>
<affiliation ref="#struct-56975"></affiliation>
<affiliation ref="#struct-69111"></affiliation>
</author>
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<monogr>
<idno type="halJournalId" status="VALID">12390</idno>
<idno type="issn">0951-192X</idno>
<idno type="eissn">1029-0257</idno>
<title level="j">International Journal of Computer Integrated Manufacturing</title>
<imprint>
<publisher>Taylor & Francis</publisher>
<biblScope unit="volume">18</biblScope>
<biblScope unit="issue">2-3</biblScope>
<biblScope unit="pp">225-235</biblScope>
<date type="datePub">2005</date>
</imprint>
</monogr>
<idno type="doi">10.1080/0951192052000288152</idno>
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<langUsage>
<language ident="en">English</language>
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<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>
</profileDesc>
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