A Dynamic Maintenance Strategy for Multi-Component Systems Using a Genetic Algorithm

In multi-component systems, the components are dependent, rather than degenerating independently, leading to changes in maintenance schedules. this situation, study proposes a grouping dynamic strategy. Considering structure of strategy is determined according importance components. The can minimize expected depreciation cost system and divide into optimal groups that meet economic requirements. First, models grouped. Then, failure probability model systems established. parameters each cycle updated Second, component indicator introduced model, optimization which aimed at maximum profit, A genetic algorithm used solve non-deterministic polynomial (NP)-complete problem obtained through initial by random allocation. An 11-component series parallel illustrate effectiveness proposed strategy, influence on discussed.