Bibliographic Details
| Title: |
Mission Reliability-Oriented Selective Maintenance Optimization for Intelligent Multistate Manufacturing Systems With Uncertain Maintenance Quality |
| Authors: |
Zhaoxiang Chen, Yihai He, Yixiao Zhao, Xiao Han, Fengdi Liu, Di Zhou, Wenzhuo Wang |
| Source: |
IEEE Access, Vol 7, Pp 109804-109816 (2019) |
| Publisher Information: |
IEEE, 2019. |
| Publication Year: |
2019 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
Multistate system, manufacturing system, selective maintenance, mission reliability, particle swarm optimization algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
Selective maintenance is widely used as a reliability-centered maintenance strategy due to the limited maintenance resources. However, existing selective maintenance studies only consider basic reliability, which cannot systematically describe the operating mechanism of a multistate system, thereby resulting in the inability to obtain an optimal maintenance strategy. Moreover, intelligent manufacturing systems are highly representative of typical multistate industrial systems. In this study, a mission reliability-oriented selective maintenance optimization model for intelligent manufacturing systems that considers the uncertain maintenance effect was proposed. First, a new connotation and modeling method for mission reliability based on multistate system theory was presented to comprehensively characterize the operating mechanism of intelligent manufacturing systems. Second, a quantitative model between maintenance resources and quality based on real-time data was established to reflect the uncertain characteristics caused by repairmen and tools. Third, a selective maintenance decision model of a multistate manufacturing system was developed under the constraints of maintenance cost and time. This constraint combination optimization problem was solved using the particle swarm optimization algorithm. Finally, a case study of selective maintenance optimization for a cylinder head manufacturing system was presented to verify the proposed method. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/8789407/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2019.2933580 |
| Access URL: |
https://doaj.org/article/0917e0989bdd4f1193f689390b8c0e64 |
| Accession Number: |
edsdoj.0917e0989bdd4f1193f689390b8c0e64 |
| Database: |
Directory of Open Access Journals |
