Redundancy Allocation of Components with Time-Dependent Failure Rates

Enrico Zio and Hadi Gholinezhad ()
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Enrico Zio: Center of Research on Risk and Crises (CRC), MINES-Paris, PSL University, 75272 Paris, France
Hadi Gholinezhad: Department of Industrial Engineering, University of Gonabad, Gonabad 96919-57678, Iran

Mathematics, 2023, vol. 11, issue 16, 1-27

Abstract: The Redundancy Allocation Problem (RAP) is well-known in the field of reliability optimization. In this paper, RAP is investigated assuming that the distribution of the time to failure of the components has the form of an Erlang distribution with a time-dependent rate parameter and considering that the choice of redundancy for each subsystem can be none, active, standby or mixed. A genetic algorithm is used to solve the problem of optimal allocation. To analyze the effect of the time dependence, some numerical examples are worked out. Then, a case study of RAP from the literature is analyzed. The obtained results show that time dependence of the failure time distribution parameters can lead to significant differences in the optimal redundancy allocation.

Keywords: reliability optimization; redundancy allocation problem; redundancy strategies; Erlang distribution; time-dependent failure rates; genetic algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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