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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...

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Autores principales: Barabadi, Reza, Ataei, Mohammad, Khalokakaie, Reza, Nouri Qarahasanlou, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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.
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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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