Optimization of the Maintenance Process Using Genetic Algorithms
In this paper, we will present an approach for assessment and ranking of maintenance process performance indicators using the fuzzy set approach and genetic algorithms. Weight values of maintenance process indicators are defined using the experience of decision makers from analysed SMEs and calculat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2013-07-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/6261 |
| _version_ | 1819283736446894080 |
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| author | S. Nestic A. Djordjevic A. Aleksic I. Macuzic M. Stefanovic |
| author_facet | S. Nestic A. Djordjevic A. Aleksic I. Macuzic M. Stefanovic |
| author_sort | S. Nestic |
| collection | DOAJ |
| description | In this paper, we will present an approach for assessment and ranking of maintenance process performance indicators using the fuzzy set approach and genetic algorithms. Weight values of maintenance process indicators are defined using the experience of decision makers from analysed SMEs and calculated using the fuzzy set approach. In the second step, a model for ranking and optimization of maintenance process performance indicators and SMEs is presented. Based on this, each SME can identify their maintenance process weaknesses and gaps, and improve maintenance process performance. The presented model quantifies maintenance process performances, ranks the indicators and provides a basis for successful improvement of the quality of the maintenance process. |
| first_indexed | 2024-12-24T01:36:13Z |
| format | Article |
| id | doaj.art-65c9dfd19e7240d0861c82ee28533f38 |
| institution | Directory Open Access Journal |
| issn | 2283-9216 |
| language | English |
| last_indexed | 2024-12-24T01:36:13Z |
| publishDate | 2013-07-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj.art-65c9dfd19e7240d0861c82ee28533f382022-12-21T17:22:11ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162013-07-013310.3303/CET1333054Optimization of the Maintenance Process Using Genetic AlgorithmsS. NesticA. DjordjevicA. AleksicI. MacuzicM. StefanovicIn this paper, we will present an approach for assessment and ranking of maintenance process performance indicators using the fuzzy set approach and genetic algorithms. Weight values of maintenance process indicators are defined using the experience of decision makers from analysed SMEs and calculated using the fuzzy set approach. In the second step, a model for ranking and optimization of maintenance process performance indicators and SMEs is presented. Based on this, each SME can identify their maintenance process weaknesses and gaps, and improve maintenance process performance. The presented model quantifies maintenance process performances, ranks the indicators and provides a basis for successful improvement of the quality of the maintenance process.https://www.cetjournal.it/index.php/cet/article/view/6261 |
| spellingShingle | S. Nestic A. Djordjevic A. Aleksic I. Macuzic M. Stefanovic Optimization of the Maintenance Process Using Genetic Algorithms Chemical Engineering Transactions |
| title | Optimization of the Maintenance Process Using Genetic Algorithms |
| title_full | Optimization of the Maintenance Process Using Genetic Algorithms |
| title_fullStr | Optimization of the Maintenance Process Using Genetic Algorithms |
| title_full_unstemmed | Optimization of the Maintenance Process Using Genetic Algorithms |
| title_short | Optimization of the Maintenance Process Using Genetic Algorithms |
| title_sort | optimization of the maintenance process using genetic algorithms |
| url | https://www.cetjournal.it/index.php/cet/article/view/6261 |
| work_keys_str_mv | AT snestic optimizationofthemaintenanceprocessusinggeneticalgorithms AT adjordjevic optimizationofthemaintenanceprocessusinggeneticalgorithms AT aaleksic optimizationofthemaintenanceprocessusinggeneticalgorithms AT imacuzic optimizationofthemaintenanceprocessusinggeneticalgorithms AT mstefanovic optimizationofthemaintenanceprocessusinggeneticalgorithms |