2010
DOI: 10.1109/tr.2010.2056412
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An Integrated Model for Production and Preventive Maintenance Planning in Multi-State Systems

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Cited by 102 publications
(41 citation statements)
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“…As a result, production and maintenance plans are often not optimal with respect to the objective of minimizing the combined maintenance and production cost. Because of the inter-dependence between production and maintenance, their integration has been shown to be more economical [1,2]. On the other hand, performing PM yields reductions in quality related costs.…”
Section: Motivation and Problem Descriptionmentioning
confidence: 99%
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“…As a result, production and maintenance plans are often not optimal with respect to the objective of minimizing the combined maintenance and production cost. Because of the inter-dependence between production and maintenance, their integration has been shown to be more economical [1,2]. On the other hand, performing PM yields reductions in quality related costs.…”
Section: Motivation and Problem Descriptionmentioning
confidence: 99%
“…In [2], the authors investigate the value of integrating PM planning and production scheduling for a single machine. While all the above-mentioned papers consider that the production system may experience only two performance levels (perfect functioning or complete failure), Nourelfath et al [1] have developed an integrated production and PM planning model for a multi-state system [20][21][22][23][24][25][26]. For large-size problems, they have proposed a genetic algorithm to deal with the preventive maintenance selection task.…”
Section: Prior Literaturementioning
confidence: 99%
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“…The backorder cost is considered and an enumeration method is used to get all of the PM solutions in the model, which was later extended in [9] to multi-state systems. Nourelfath et al [15] also developed an integrated model for production and PM planning in multi-stage systems, where the preventive maintenance selection task in the integrated planning model is solved using a genetic algorithm. This work was then extended by Nourelfath and Chatelet [14] to a parallel system with dependent components, and a simulated annealing algorithm was developed.…”
Section: Assumptionsmentioning
confidence: 99%
“…He studied two failures modes for which the price of the resuming of the production varies, and proposed a dynamic programming model to study the two cases and to provide a dynamic production plan. All the others authors [1,8,10,12,4,9,6,2] propose to determine jointly a production plan and a preventive maintenance policy. [1,8,10] propose a policy of periodic maintenance where preventive maintenances can only be carried out at the beginning of the periods.…”
Section: Introductionmentioning
confidence: 99%