Optimization tools applied to physical asset maintenance management: state of the art
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2021
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| _version_ | 1876463452669607936 |
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| author | Yodaira Borroto-Pentón |
| author_facet | Yodaira Borroto-Pentón |
| contents | Optimization tools applied to physical asset maintenance management: state of the art Yodaira Borroto-Pentón Manuel Alejandro Caraza-Morales Aramis Alfonso-Llanes Fernando Marrero-Delgado Ingeniería Reliability maintenance optimization 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. 2021 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49671317021 https://www.redalyc.org/journal/496/49671317021/ https://www.redalyc.org/journal/496/49671317021/html/ https://www.redalyc.org/journal/496/49671317021/49671317021.epub https://www.redalyc.org/journal/496/49671317021/movil 10.15446/dyna.v88n219.96981 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.219 Vol.88 |
| format | Artículo científico |
| id | redalyc_49671317021 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Optimization tools applied to physical asset maintenance management: state of the art Yodaira Borroto-Pentón Ingeniería Reliability maintenance optimization Optimization tools applied to physical asset maintenance management: state of the art Yodaira Borroto-Pentón Manuel Alejandro Caraza-Morales Aramis Alfonso-Llanes Fernando Marrero-Delgado Ingeniería Reliability maintenance optimization 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. 2021 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49671317021 https://www.redalyc.org/journal/496/49671317021/ https://www.redalyc.org/journal/496/49671317021/html/ https://www.redalyc.org/journal/496/49671317021/49671317021.epub https://www.redalyc.org/journal/496/49671317021/movil 10.15446/dyna.v88n219.96981 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.219 Vol.88 |
| title | Optimization tools applied to physical asset maintenance management: state of the art |
| topic | Ingeniería Reliability maintenance optimization |
| url | https://www.redalyc.org/articulo.oa?id=49671317021 https://www.redalyc.org/journal/496/49671317021/ https://www.redalyc.org/journal/496/49671317021/html/ https://www.redalyc.org/journal/496/49671317021/49671317021.epub https://www.redalyc.org/journal/496/49671317021/movil |