Redundancy Allocation of Components with Time-Dependent Failure Rates

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...

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Main Authors: Enrico Zio, Hadi Gholinezhad
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/16/3534
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author Enrico Zio
Hadi Gholinezhad
author_facet Enrico Zio
Hadi Gholinezhad
author_sort Enrico Zio
collection DOAJ
description 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.
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spelling doaj.art-55d541c1ef9c45639f8a925589e0442e2023-11-19T02:03:28ZengMDPI AGMathematics2227-73902023-08-011116353410.3390/math11163534Redundancy Allocation of Components with Time-Dependent Failure RatesEnrico Zio0Hadi Gholinezhad1Center of Research on Risk and Crises (CRC), MINES-Paris, PSL University, 75272 Paris, FranceDepartment of Industrial Engineering, University of Gonabad, Gonabad 96919-57678, IranThe 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.https://www.mdpi.com/2227-7390/11/16/3534reliability optimizationredundancy allocation problemredundancy strategiesErlang distributiontime-dependent failure ratesgenetic algorithm
spellingShingle Enrico Zio
Hadi Gholinezhad
Redundancy Allocation of Components with Time-Dependent Failure Rates
Mathematics
reliability optimization
redundancy allocation problem
redundancy strategies
Erlang distribution
time-dependent failure rates
genetic algorithm
title Redundancy Allocation of Components with Time-Dependent Failure Rates
title_full Redundancy Allocation of Components with Time-Dependent Failure Rates
title_fullStr Redundancy Allocation of Components with Time-Dependent Failure Rates
title_full_unstemmed Redundancy Allocation of Components with Time-Dependent Failure Rates
title_short Redundancy Allocation of Components with Time-Dependent Failure Rates
title_sort redundancy allocation of components with time dependent failure rates
topic reliability optimization
redundancy allocation problem
redundancy strategies
Erlang distribution
time-dependent failure rates
genetic algorithm
url https://www.mdpi.com/2227-7390/11/16/3534
work_keys_str_mv AT enricozio redundancyallocationofcomponentswithtimedependentfailurerates
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