Redundancy allocation problem includes selection of several redundant components for allocating to a system; to maximize the availability, by considering the system constrains. In this regard, traditional prioritization methods have been presented which mainly addressed single-objective optimization. Moreover, the presented methods, due to have high number of solutions, are practically limited and selection of the best solution among the efficient solutions is typically complicated. In this study, the availability and the cost of system are regarded as objective functions. The corrective maintenance and allunit discount for buying the substituted components are considered in the model. To optimize the presented model, a solution prioritizing method with utility function and ant colony optimization will be presented. The method is a robust one in the case of existence of a relationship between availability and system cost. Finally, the corrective maintenance and all-unit discount of the proposed method will be investigated and the results will be examined in a numerical example.
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