Computers and Industrial Engineering
Joint importance of multistate systems
Computers and Industrial Engineering
Optimal corrective maintenance contract planning for aging multi-state system
Applied Stochastic Models in Business and Industry
Maintenance models for a continuously degrading system
Computers and Industrial Engineering
An overview of time-based and condition-based maintenance in industrial application
Computers and Industrial Engineering
A PSO algorithm for constrained redundancy allocation in multi-state systems with bridge topology
Computers and Industrial Engineering
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Maintenance policies for multi-state systems (MSS) are often analyzed under infinite horizon assumptions. In practice, it is important to consider maintenance policies under a finite horizon because the life cycles of most systems are finite. In this paper, we consider a finite life-cycle MSS that is subject to both degradation and Poisson failures. We study two classes of maintenance policies - preventive replacements and corrective replacements, and their effectiveness in controlling the customer's expected discounted maintenance cost (EDMC). For both policies, replacement decisions are modelled via two control parameters - a threshold on the current system state and a threshold on the residual life cycle, which is measured as the time span from present to the end of life cycle. We derive close-to-explicit forms of the cost models under each of the policy. Methodologies for optimizing the maintenance thresholds are further proposed. Computational results verify that preventive replacements outperform corrective replacements typically when the downtime cost per failure is relatively high compared to the repair cost.