Solving a multi-objective redundancy allocation problem under opportunistic maintenance strategy

Abstract

Redundancy allocation problem is increasing a system’s reliability throughout parallel arrangement of each subsystem’s components. In recent years, various approaches have been proposed to solve this problem, although most only pursuit the maximization of the system reliability. Meanwhile, increasing the number of identical components in each subsystem leads to higher cost for system. Therefore, this paper presents an approach based on design of experiments (DOE) and data envelopment analysis (DEA) in order to determine the number of redundant component by considering both reliability and cost of the system. Since most of continuous production systems has high setup cost, the proposed approach uses the opportunistic maintenance policy for application of most restorative operations in each system’s halt.