Academic Journal
Optimization Model of Maintenance and Spare Parts Ordering Policy in Multivariate Degradation System
| العنوان: | Optimization Model of Maintenance and Spare Parts Ordering Policy in Multivariate Degradation System |
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| المؤلفون: | YANG Zhiyuan, ZHAO Jianmin, CHENG Zhonghua, GUO Chiming, LI Liying |
| المصدر: | Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 7, Pp 858-867 (2021) |
| بيانات النشر: | Editorial Office of Journal of Shanghai Jiao Tong University, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) LCC:Chemical engineering LCC:Naval architecture. Shipbuilding. Marine engineering |
| مصطلحات موضوعية: | maintenance decision, spare parts ordering, multivariate degradation process, dependent degradation, condition monitoring, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989 |
| الوصف: | Aimed at the decision-making problem of condition-based maintenance and spare parts ordering for systems with multiple dependent degradation processes, an optimization model of system maintenance and spare parts ordering policy is developed under the condition of continuously monitoring. First, the Gamma process and Copula function are used to develop the system multivariate degradation model. Then, the system maintenance and spare parts ordering policy based on the control limit strategy is proposed. Considering the influence of system degradation on maintenance cost, the analytical expression of the expected maintenance cost rate under long-term operation conditions is obtained. At the same time, an approximate expression of the expected maintenance cost rate is proposed to simplify the model calculation. The optimal preventive replacement threshold and spare parts ordering threshold of the system are obtained by using the artificial bee colony algorithm under the cost criterion. The case analysis shows that it is necessary to consider degradation in maintenance decision-making. Compared with the existing policy, the comprehensive optimization of preventive replacement and spare parts ordering thresholds can effectively reduce the maintenance cost of the system. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Chinese |
| تدمد: | 1006-2467 25029827 |
| Relation: | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-7-858.shtml; https://doaj.org/toc/1006-2467 |
| DOI: | 10.16183/j.cnki.jsjtu.2019.221 |
| URL الوصول: | https://doaj.org/article/f25029827b404208aa66f92a7d79b7eb |
| رقم الانضمام: | edsdoj.f25029827b404208aa66f92a7d79b7eb |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 10062467 25029827 |
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| DOI: | 10.16183/j.cnki.jsjtu.2019.221 |