Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System

This paper develops a joint strategy of condition-based maintenance and spare ordering for a multistate system that is subject to competing failures due to external shocks and self-degradation. Failures of this system are hidden and can be divided into two types: a one-stage hard failure and a two-s...

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Main Authors: Mengying Han, Zhichao Ma, Shugang Ma, Wei Li, Jianhua Yang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10093875/
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author Mengying Han
Zhichao Ma
Shugang Ma
Wei Li
Jianhua Yang
author_facet Mengying Han
Zhichao Ma
Shugang Ma
Wei Li
Jianhua Yang
author_sort Mengying Han
collection DOAJ
description This paper develops a joint strategy of condition-based maintenance and spare ordering for a multistate system that is subject to competing failures due to external shocks and self-degradation. Failures of this system are hidden and can be divided into two types: a one-stage hard failure and a two-stage soft failure. The states of the system are identified by periodic inspections and replacement is executed preventively or correctively in response to the defective or failed state. When the operating time of the system is reached the predetermined threshold <inline-formula> <tex-math notation="LaTeX">$\tau $ </tex-math></inline-formula>, the spare is ordered. Furthermore, a threshold level <inline-formula> <tex-math notation="LaTeX">$z$ </tex-math></inline-formula> is introduced to postpone the preventive replacement (PR) when the ordered spare is delivered before the defective state is first detected. Depending on the state of the ordered spare when replacement is required and the fault cause of the system when a corrective replacement (CR) is needed, all possible renewal events are analyzed to establish the joint optimization model. A modified artificial bee colony algorithm and discrete simulation algorithm are adopted to find the optimal solutions, and the correctness of the proposed model is verified by a numerical example. Moreover, the results from the numerical example indicate that the proposed strategy is superior to the comparative model, thus the applicability and effectiveness of the proposed model are illustrated.
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spelling doaj.art-73af364405ba40d69886b3f4b53fb09a2023-04-19T23:00:19ZengIEEEIEEE Access2169-35362023-01-0111370063702010.1109/ACCESS.2023.326521110093875Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure SystemMengying Han0Zhichao Ma1https://orcid.org/0009-0003-4976-9064Shugang Ma2Wei Li3https://orcid.org/0000-0002-7245-9772Jianhua Yang4School of Business, Hebei University of Economics and Business, Shijiazhuang, ChinaSchool of Management Engineering and Business, Hebei University of Engineering, Handan, ChinaSchool of Business, Hebei University of Economics and Business, Shijiazhuang, ChinaSchool of Business, Hebei University of Economics and Business, Shijiazhuang, ChinaSchool of Economics and Management, University of Science and Technology at Beijing, Beijing, ChinaThis paper develops a joint strategy of condition-based maintenance and spare ordering for a multistate system that is subject to competing failures due to external shocks and self-degradation. Failures of this system are hidden and can be divided into two types: a one-stage hard failure and a two-stage soft failure. The states of the system are identified by periodic inspections and replacement is executed preventively or correctively in response to the defective or failed state. When the operating time of the system is reached the predetermined threshold <inline-formula> <tex-math notation="LaTeX">$\tau $ </tex-math></inline-formula>, the spare is ordered. Furthermore, a threshold level <inline-formula> <tex-math notation="LaTeX">$z$ </tex-math></inline-formula> is introduced to postpone the preventive replacement (PR) when the ordered spare is delivered before the defective state is first detected. Depending on the state of the ordered spare when replacement is required and the fault cause of the system when a corrective replacement (CR) is needed, all possible renewal events are analyzed to establish the joint optimization model. A modified artificial bee colony algorithm and discrete simulation algorithm are adopted to find the optimal solutions, and the correctness of the proposed model is verified by a numerical example. Moreover, the results from the numerical example indicate that the proposed strategy is superior to the comparative model, thus the applicability and effectiveness of the proposed model are illustrated.https://ieeexplore.ieee.org/document/10093875/Multistate competing failurehidden failurescondition-based maintenancespare orderingdelay-time model
spellingShingle Mengying Han
Zhichao Ma
Shugang Ma
Wei Li
Jianhua Yang
Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System
IEEE Access
Multistate competing failure
hidden failures
condition-based maintenance
spare ordering
delay-time model
title Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System
title_full Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System
title_fullStr Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System
title_full_unstemmed Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System
title_short Joint Optimization of Condition-Based Maintenance and Spare Ordering Strategy for a Multistate Competing Failure System
title_sort joint optimization of condition based maintenance and spare ordering strategy for a multistate competing failure system
topic Multistate competing failure
hidden failures
condition-based maintenance
spare ordering
delay-time model
url https://ieeexplore.ieee.org/document/10093875/
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