Table 4 Maintenance strategy for different decision-making priorities.

From: Monte Carlo simulation for evaluating and optimizing the efficiency of BR and QIR maintenance strategies

Decision priority

Recommended strategy

Justification

Minimizing long-term costs

RL-M

Achieves the lowest C (7.4) due to AI-driven optimization

Balancing cost and robustness

PHM-CBM

Maintains low cost variability while reducing failures

Reducing downtime probability

RL-M, PHM-CBM

RL-M prevents unexpected failures, while PHM-CBM reduces hazard-based risks

Minimizing cost variability

Hybrid PPM

Balances predictive scheduling with preventive actions

Simple, low-cost implementation

QIR

Requires minimal computational resources but remains more cost-effective than BR