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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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0247650&type=printable |
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| author | Reza Barabadi Mohammad Ataei Reza Khalokakaie Ali Nouri Qarahasanlou |
| author_facet | Reza Barabadi Mohammad Ataei Reza Khalokakaie Ali Nouri Qarahasanlou |
| author_sort | Reza Barabadi |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-7ebcb1dfe0754fb78028fe59fe330f39 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-7ebcb1dfe0754fb78028fe59fe330f392025-08-20T02:00:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01163e024765010.1371/journal.pone.0247650Spare-part management in a heterogeneous environment.Reza BarabadiMohammad AtaeiReza KhalokakaieAli Nouri QarahasanlouSpare-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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0247650&type=printable |
| spellingShingle | Reza Barabadi Mohammad Ataei Reza Khalokakaie Ali Nouri Qarahasanlou Spare-part management in a heterogeneous environment. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0247650&type=printable |
| work_keys_str_mv | AT rezabarabadi sparepartmanagementinaheterogeneousenvironment AT mohammadataei sparepartmanagementinaheterogeneousenvironment AT rezakhalokakaie sparepartmanagementinaheterogeneousenvironment AT alinouriqarahasanlou sparepartmanagementinaheterogeneousenvironment |