Optimizing a redundancy allocation problem with open-circuit and short-circuit failure modes at the component and subsystem levels

• Published in: Engineering optimization Vol. 53; no. 6; pp. 1064 - 1080
• Main Authors: Sharifi, Mani, Taghipour, Sharareh
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 03.06.2021; Taylor & Francis Ltd
• Subjects: Component reliability; Failure modes; genetic algorithm; Genetic algorithms; Mathematical models; Monte Carlo simulation; open-circuit failure; Optimization; Redundancy; redundancy allocation problem; Short circuits; Short-circuit failure; Subsystems; System reliability; universal generating function
• ISSN: 0305-215X; 1026-745X; 1029-0273; 1029-0273
• DOI: 10.1080/0305215X.2020.1771704

In failure-prone systems, it is important to take into considerations all the failure modes of each component to achieve the optimal system reliability. In this paper, a new series-parallel redundancy allocation problem is presented for a system in which the subsystems and components are subject to two different independent failure modes: short-circuit and open-circuit. It is assumed when a pre-determined number of a subsystem's components fail due to short- or open-circuit failure types, the subsystem fails. Moreover, when more than a pre-determined number of the system's subsystems fail due to short- or open-circuit failure types, the system fails. A new method based on the universal generating function is used to calculate the system's short-circuit failure probability, and the results are validated with the Monte-Carlo simulation. Then, a mathematical model for the considered RAP is presented to maximize the system's reliability. Finally, the proposed model is solved using a genetic algorithm.