Optimization tools applied to physical asset maintenance management: state of the art
This article presents the state of the art of the application of optimization tools such as Genetic Algorithms, Simulation, Neural Networks, Markov Chains and Bayesian Networks in the physical asset maintenance management. The bibliographic references used were extracted from a detailed search that...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universidad Nacional de Colombia
2021-12-01
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| Series: | Dyna |
| Subjects: | |
| Online Access: | https://revistas.unal.edu.co/index.php/dyna/article/view/96981 |
| _version_ | 1797838828817350656 |
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| author | Yodaira Borroto Pentón Manuel Alejandro Caraza Morales Aramis Alfonso Llanes Fernando Marrero Delgado |
| author_facet | Yodaira Borroto Pentón Manuel Alejandro Caraza Morales Aramis Alfonso Llanes Fernando Marrero Delgado |
| author_sort | Yodaira Borroto Pentón |
| collection | DOAJ |
| description |
This article presents the state of the art of the application of optimization tools such as Genetic Algorithms, Simulation, Neural Networks, Markov Chains and Bayesian Networks in the physical asset maintenance management. The bibliographic references used were extracted from a detailed search that allowed the selection of the empirical studies presented, in the time horizon from 2010 to 2021, through databases, research platforms and online libraries. The analysis of the identified case studies is carried out, taking into account the variables involved in the study, the optimization tool used, and the result obtained in the analysis of the physical asset maintenance management. The benefits of the application of optimization tools are identified and it is confirmed that maintenance costs and intervention times are present variables, which contribute to the improvement of reliability and maintenance management.
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| first_indexed | 2024-04-09T15:47:12Z |
| format | Article |
| id | doaj.art-3b2995296b2d4809b7602e262cd64760 |
| institution | Directory Open Access Journal |
| issn | 0012-7353 2346-2183 |
| language | English |
| last_indexed | 2024-04-09T15:47:12Z |
| publishDate | 2021-12-01 |
| publisher | Universidad Nacional de Colombia |
| record_format | Article |
| series | Dyna |
| spelling | doaj.art-3b2995296b2d4809b7602e262cd647602023-04-26T18:30:55ZengUniversidad Nacional de ColombiaDyna0012-73532346-21832021-12-018821910.15446/dyna.v88n219.96981Optimization tools applied to physical asset maintenance management: state of the artYodaira Borroto Pentón0Manuel Alejandro Caraza Morales1Aramis Alfonso Llanes2Fernando Marrero Delgado3Tecnológico Nacional de México. Instituto Tecnológico Superior de MisantlaTecnológico Nacional de México, Instituto Tecnológico Superior de MisantlaUniversidad Central "Marta Abreu" de las Villas, CubaUniversidad Central "Marta Abreu" de las Villas This article presents the state of the art of the application of optimization tools such as Genetic Algorithms, Simulation, Neural Networks, Markov Chains and Bayesian Networks in the physical asset maintenance management. The bibliographic references used were extracted from a detailed search that allowed the selection of the empirical studies presented, in the time horizon from 2010 to 2021, through databases, research platforms and online libraries. The analysis of the identified case studies is carried out, taking into account the variables involved in the study, the optimization tool used, and the result obtained in the analysis of the physical asset maintenance management. The benefits of the application of optimization tools are identified and it is confirmed that maintenance costs and intervention times are present variables, which contribute to the improvement of reliability and maintenance management. https://revistas.unal.edu.co/index.php/dyna/article/view/96981reliability;optimization;maintenance. |
| spellingShingle | Yodaira Borroto Pentón Manuel Alejandro Caraza Morales Aramis Alfonso Llanes Fernando Marrero Delgado Optimization tools applied to physical asset maintenance management: state of the art Dyna reliability; optimization; maintenance. |
| title | Optimization tools applied to physical asset maintenance management: state of the art |
| title_full | Optimization tools applied to physical asset maintenance management: state of the art |
| title_fullStr | Optimization tools applied to physical asset maintenance management: state of the art |
| title_full_unstemmed | Optimization tools applied to physical asset maintenance management: state of the art |
| title_short | Optimization tools applied to physical asset maintenance management: state of the art |
| title_sort | optimization tools applied to physical asset maintenance management state of the art |
| topic | reliability; optimization; maintenance. |
| url | https://revistas.unal.edu.co/index.php/dyna/article/view/96981 |
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