Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions

Abstract

Many systems are required to perform a series of missions with finite breaks between any two consecutive missions. To improve the probability of system successfully completing the next mission, maintenance action is carried out on components during the breaks. In this work, a selective maintenance model with stochastic maintenance quality for multi-component systems is investigated. At each scheduled break, a set of maintenance actions with different degrees of impact are available for each component. The impact of a maintenance action is assumed to be random and follow an identified probability distribution. The corresponding maintenance cost and time are modelled based on the expected impact of the maintenance action. The objective of selective maintenance scheduling is to find the cost-optimal maintenance action for each component at every scheduled break subject to reliability and duration constraints. A simulated annealing algorithm is used to solve the complicated optimisation problem where both multiple maintenance actions and stochastic quality model are taken into account. Two illustrative numerical examples and a real case study have been solved to demonstrate the performance of the proposed approach. A comparison with deterministic maintenance shows the importance of considering the proposed stochastic quality in selective maintenance scheduling.

Keywords:

• selective maintenance scheduling
• stochastic maintenance quality
• multiple maintenance actions
• conditional reliability
• simulated annealing algorithm

Disclosure statement

No potential conflict of interest was reported by the authors.

Funding

The research was supported by China Scholarship Council (CSC) [grant number 201506160096]; the National Natural Science Foundation of China (NSFC) [grant number 51475189]; the National Key Research and Development Program of China [grant number 2016YFE0121700]; the Science and Technology Development Fund of Macao S.A.R (FDCT) under MoST-FDCT [joint grant number 015/2015/AMJ].

Acknowledgements

The authors would like to express their gratitude to associate editor and three anonymous referees for their valuable comments and suggestions which contributed to a significant improvement of the original version of this paper.

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.