Reliability-Based Maintenance Optimization of Reusable Phased Mission Systems

Li, XY ORCID: 0000-0002-5285-9082, Wang, H ORCID: 0009-0004-1876-3054, Li, H ORCID: 0000-0001-6429-9097, Xiong, X, Yang, Z ORCID: 0000-0003-1385-493X, Huang, HZ, Beer, M ORCID: 0000-0002-0611-0345 and Wang, J ORCID: 0000-0003-4646-9106 (2026) Reliability-Based Maintenance Optimization of Reusable Phased Mission Systems. Reliability Engineering and System Safety, 270. ISSN 0951-8320

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Abstract

This paper proposes a reliability-based maintenance optimization method for reliability modeling and maintenance planning of reusable phased mission systems (R-PMSs). Initially, a multi-phased Wiener process-based reliability modeling method, combined with the Binary Decision Diagram-based model, is created to assess the reliability of R-PMSs. The method considers the initial states of components to be perfect/imperfect fixed as a basis to reflect the impacts of multiple usages of R-PMSs. Subsequently, a maintenance optimization model based on the reliability assessed and incorporating multiple maintenance actions is constructed to allocate the maintenance resources into the maintenance activities in advance of subsequent missions of R-PMSs. The model balances the maintenance cost, overall reliability, and task requirements. The superiority and performance of the proposed method are validated by numerical and engineering analysis. The results confirmed that the proposed method contributes to reliability modeling and maintenance scheduling of R-PMSs.

Item Type:	Article
Uncontrolled Keywords:	Maintenance; Reliability modeling; Reusable phased mission systems; Multi-phased Wiener process; 4005 Civil Engineering; 40 Engineering; 01 Mathematical Sciences; 09 Engineering; 15 Commerce, Management, Tourism and Services; Strategic, Defence & Security Studies; 35 Commerce, management, tourism and services; 40 Engineering; 49 Mathematical sciences
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Engineering
Publisher:	Elsevier BV
Date of acceptance:	1 January 2026
Date of first compliant Open Access:	27 April 2026
Date Deposited:	27 Apr 2026 10:02
Last Modified:	27 Apr 2026 10:02
DOI or ID number:	10.1016/j.ress.2026.112187
URI:	https://researchonline.ljmu.ac.uk/id/eprint/28463

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