Selective Maintenance Planning Considering Team Capability Based on Fuzzy Integral and Dynamic Artificial Bee Colony Algorithm

For the selective maintenance planning (SMP), the decision makers are required to select components to be maintained as well as how to repair within a finite break between missions considering limited time, cost, and other resources. However, a few studies analyze the impact of team maintenance capability on SMP. In this paper, novel SMP models considering team maintenance capability and imperfect maintenance are introduced, which is ignored in current studies. In addition, a two-phase method integrating fuzzy Choquet integral based on λ-fuzzy measure and dynamic multi-objective artificial bee colony (DMABC) is proposed to optimize the SMP models. Fuzzy Choquet integral is used to deal with interaction among criterions and the DMABC is applied to obtain non-dominated solutions with different maintenance capability. Finally, the performance comparison experiment is made between the DMABC and NSGA-II, and the validity of the proposed algorithm has been demonstrated by the results.