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Spare-part management in a heterogeneous environment
Spare-part management has a significant effect on the productivity of mining equipment. The required number of spare parts can be estimated using failure and repair data collected under the name of reliability data. In the mining industry, failure and repair times are decided by the operational envi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978368/ https://www.ncbi.nlm.nih.gov/pubmed/33739999 http://dx.doi.org/10.1371/journal.pone.0247650 |
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author | Barabadi, Reza Ataei, Mohammad Khalokakaie, Reza Nouri Qarahasanlou, Ali |
author_facet | Barabadi, Reza Ataei, Mohammad Khalokakaie, Reza Nouri Qarahasanlou, Ali |
author_sort | Barabadi, Reza |
collection | PubMed |
description | Spare-part management has a significant effect on the productivity of mining equipment. The required number of spare parts can be estimated using failure and repair data collected under the name of reliability data. In the mining industry, failure and repair times are decided by the operational environment, rock properties, and the technical and functional behavior of the system. These conditions are heterogeneous and may change significantly from time to time. Such heterogeneity can change equipment’s reliability performance and, consequently, the required number of spare parts. Hence, it is necessary for effective spare-part planning to check the heterogeneity among the reliability data. After that, if needed, such heterogeneity should be modeled using an adequate statistical model. Heterogeneity can be categorized into observed and unobserved caused by risk factors. Most spare-part estimation studies ignore the effect of heterogeneity, which can lead to unrealistic estimations. In this study, we introduce the application of a frailty model for modeling the effect of observed and unobserved risk factors on the required number of spare parts for mining equipment. Studies indicate that ignoring the effect of unobservable risk factors can cause a significant bias in estimation. |
format | Online Article Text |
id | pubmed-7978368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79783682021-03-30 Spare-part management in a heterogeneous environment Barabadi, Reza Ataei, Mohammad Khalokakaie, Reza Nouri Qarahasanlou, Ali PLoS One Research Article Spare-part management has a significant effect on the productivity of mining equipment. The required number of spare parts can be estimated using failure and repair data collected under the name of reliability data. In the mining industry, failure and repair times are decided by the operational environment, rock properties, and the technical and functional behavior of the system. These conditions are heterogeneous and may change significantly from time to time. Such heterogeneity can change equipment’s reliability performance and, consequently, the required number of spare parts. Hence, it is necessary for effective spare-part planning to check the heterogeneity among the reliability data. After that, if needed, such heterogeneity should be modeled using an adequate statistical model. Heterogeneity can be categorized into observed and unobserved caused by risk factors. Most spare-part estimation studies ignore the effect of heterogeneity, which can lead to unrealistic estimations. In this study, we introduce the application of a frailty model for modeling the effect of observed and unobserved risk factors on the required number of spare parts for mining equipment. Studies indicate that ignoring the effect of unobservable risk factors can cause a significant bias in estimation. Public Library of Science 2021-03-19 /pmc/articles/PMC7978368/ /pubmed/33739999 http://dx.doi.org/10.1371/journal.pone.0247650 Text en © 2021 Barabadi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Barabadi, Reza Ataei, Mohammad Khalokakaie, Reza Nouri Qarahasanlou, Ali Spare-part management in a heterogeneous environment |
title | Spare-part management in a heterogeneous environment |
title_full | Spare-part management in a heterogeneous environment |
title_fullStr | Spare-part management in a heterogeneous environment |
title_full_unstemmed | Spare-part management in a heterogeneous environment |
title_short | Spare-part management in a heterogeneous environment |
title_sort | spare-part management in a heterogeneous environment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978368/ https://www.ncbi.nlm.nih.gov/pubmed/33739999 http://dx.doi.org/10.1371/journal.pone.0247650 |
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