Optimal Selective Maintenance Strategy with Repairperson Workload Balancing

Selective maintenance is a crucial condition-based strategy for maintaining system reliability over a specific mission length while utilizing optimal resources such as manpower, cost, and time. Achieving an optimal strategy for selective maintenance requires a fair distribution of these resources, which can be achieved by incorporating balancing constraints, known as Selective Maintenance with Resource balancing. In this research paper, we focus on optimizing costs, the average working time of different repair crews, number of crews assigned, and performed actions on the system to achieve the required reliability goal using various models, including worker assignment without resource balancing, unique resource balancing target, skill-based resource balancing target, maximum break time utilization target, and skill-based break time utilization targets. Our findings demonstrate the importance of resource balancing in achieving consistent results across different repair crews and break durations while minimizing operational costs. These insights have significant implications for organizations seeking to optimize their selective maintenance strategies for optimal resource utilization and maximum system reliability.