Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study
A properly implemented maintenance management system has an impact at different levels. Maintenance is defined as the set of actions to maintain a property in a specified state. The unavailability of the spare parts required, to carry out the maintenance intervention, causes an extension of the inac...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/2950789 |
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| author | Oumaima Bounou Abdellah El Barkany Ahmed El Biyaali |
| author_facet | Oumaima Bounou Abdellah El Barkany Ahmed El Biyaali |
| author_sort | Oumaima Bounou |
| collection | DOAJ |
| description | A properly implemented maintenance management system has an impact at different levels. Maintenance is defined as the set of actions to maintain a property in a specified state. The unavailability of the spare parts required, to carry out the maintenance intervention, causes an extension of the inactivity time of the installation. On the contrary, an excessive stock of spare parts confines enormous capital and entails an enormous cost of ownership. According to the literature already made, we have directed in our work to propose a model of joint management of maintenance and spare parts based on stochastic-deterministic batch Petri networks. We studied this model by simulation using a graphical interface dedicated to the graphical tool used. So, we present, in this paper, the analytical study of the model by defining the performance indicators and viewing the influence of system parameters on these indicators. The main stages of the analytical study are developing the μ-marking graph, the associated Markov process which gives the associated transition matrix, and the definition of performance indicators using the probability distribution of the states. We deal with an application of the analytical evaluation of the proposed model. We end this article with an analysis and synthesis. |
| format | Article |
| id | doaj-art-63ef40b5d90e4cc9b42ba0fe11ba3115 |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-63ef40b5d90e4cc9b42ba0fe11ba31152025-02-03T01:00:18ZengWileyJournal of Engineering2314-49042314-49122020-01-01202010.1155/2020/29507892950789Performance Indicators for Spare Parts and Maintenance Management: An Analytical StudyOumaima Bounou0Abdellah El Barkany1Ahmed El Biyaali2Faculty of Sciences and Techniques, Mechanical Engineering Laboratory, Sidi Mohammed Ben Abdellah University, FEZ, MoroccoFaculty of Sciences and Techniques, Mechanical Engineering Laboratory, Sidi Mohammed Ben Abdellah University, FEZ, MoroccoFaculty of Sciences and Techniques, Mechanical Engineering Laboratory, Sidi Mohammed Ben Abdellah University, FEZ, MoroccoA properly implemented maintenance management system has an impact at different levels. Maintenance is defined as the set of actions to maintain a property in a specified state. The unavailability of the spare parts required, to carry out the maintenance intervention, causes an extension of the inactivity time of the installation. On the contrary, an excessive stock of spare parts confines enormous capital and entails an enormous cost of ownership. According to the literature already made, we have directed in our work to propose a model of joint management of maintenance and spare parts based on stochastic-deterministic batch Petri networks. We studied this model by simulation using a graphical interface dedicated to the graphical tool used. So, we present, in this paper, the analytical study of the model by defining the performance indicators and viewing the influence of system parameters on these indicators. The main stages of the analytical study are developing the μ-marking graph, the associated Markov process which gives the associated transition matrix, and the definition of performance indicators using the probability distribution of the states. We deal with an application of the analytical evaluation of the proposed model. We end this article with an analysis and synthesis.http://dx.doi.org/10.1155/2020/2950789 |
| spellingShingle | Oumaima Bounou Abdellah El Barkany Ahmed El Biyaali Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study Journal of Engineering |
| title | Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study |
| title_full | Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study |
| title_fullStr | Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study |
| title_full_unstemmed | Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study |
| title_short | Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study |
| title_sort | performance indicators for spare parts and maintenance management an analytical study |
| url | http://dx.doi.org/10.1155/2020/2950789 |
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