A novel component mixing and mixed redundancy strategy for reliability optimization

Saeideh Sheikhpour, Amin Kargar-Barzi and Ali Mahani ()
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Saeideh Sheikhpour: Shahid Bahonar University of Kerman
Amin Kargar-Barzi: Shahid Bahonar University of Kerman
Ali Mahani: Shahid Bahonar University of Kerman

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 23, 328-346

Abstract: Abstract Maximizing overall system reliability by identifying optimal system configuration considering several design constraints is known as reliability redundancy allocation problem (RRAP). Since reliability is an important quality attribute in critical systems, RRAP has been intensively investigated in the literature. In this paper, a new model of RRAP for heterogeneous and homogeneous components is developed. Our proposed model handles component mixing in subsystems under both active and cold-standby redundancy strategies. The problem, therefore, is to decide the number of components in each subsystem (redundancy level), the failure rate of selected components, and the type of redundancy strategy for each of them under multiple design constraints including system weight, cost, and volume. Since RRAP falls into the NP-hard category of engineering optimization problems, a teaching learning-based optimization (TLBO) algorithm is implemented to solve it. Finally, the simulation results of the proposed RRAP model by TLBO on three well-known benchmark problems are provided, followed by the comparisons with recent existing related works. The comparative results suggested the effectiveness of the proposed approach in finding the optimal system configuration with higher system reliability in all cases.

Keywords: Reliability redundancy allocation problem; Non-linear mixed integer programming; Reliability optimization; TMLBO; Mixed strategy; Component mixing (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s13198-021-01248-y

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