Stochastic formulations of the redundancy allocation problem

David W. Coit; Alice E. Smith

Stochastic formulations of the redundancy allocation problem

Research output: Contribution to conference › Paper › peer-review

Abstract

Previous research on the redundancy allocation problem for series-parallel systems has focused on deterministic versions where component reliability is assumed to be an exact value. This paper discusses alternative formulations which allow system reliability and mean time to failure to be treated as random variables. Stochastic formulations allow for explicit consideration of risk aversion, and thus, are more reflective of actual design problems. A genetic algorithm is developed for these problem formulations and is demonstrated on an illustrative problem.

Original language	English (US)
Pages	459-463
Number of pages	5
State	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 5th Industrial Engineering Research Conference - Minneapolis, MN, USA Duration: May 18 1996 → May 20 1996

Other

Other	Proceedings of the 1996 5th Industrial Engineering Research Conference
City	Minneapolis, MN, USA
Period	5/18/96 → 5/20/96

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Cite this

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title = "Stochastic formulations of the redundancy allocation problem",

abstract = "Previous research on the redundancy allocation problem for series-parallel systems has focused on deterministic versions where component reliability is assumed to be an exact value. This paper discusses alternative formulations which allow system reliability and mean time to failure to be treated as random variables. Stochastic formulations allow for explicit consideration of risk aversion, and thus, are more reflective of actual design problems. A genetic algorithm is developed for these problem formulations and is demonstrated on an illustrative problem.",

author = "Coit, {David W.} and Smith, {Alice E.}",

year = "1996",

language = "English (US)",

pages = "459--463",

note = "Proceedings of the 1996 5th Industrial Engineering Research Conference ; Conference date: 18-05-1996 Through 20-05-1996",

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T1 - Stochastic formulations of the redundancy allocation problem

AU - Coit, David W.

AU - Smith, Alice E.

PY - 1996

Y1 - 1996

N2 - Previous research on the redundancy allocation problem for series-parallel systems has focused on deterministic versions where component reliability is assumed to be an exact value. This paper discusses alternative formulations which allow system reliability and mean time to failure to be treated as random variables. Stochastic formulations allow for explicit consideration of risk aversion, and thus, are more reflective of actual design problems. A genetic algorithm is developed for these problem formulations and is demonstrated on an illustrative problem.

AB - Previous research on the redundancy allocation problem for series-parallel systems has focused on deterministic versions where component reliability is assumed to be an exact value. This paper discusses alternative formulations which allow system reliability and mean time to failure to be treated as random variables. Stochastic formulations allow for explicit consideration of risk aversion, and thus, are more reflective of actual design problems. A genetic algorithm is developed for these problem formulations and is demonstrated on an illustrative problem.

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M3 - Paper

AN - SCOPUS:0030362318

SP - 459

EP - 463

T2 - Proceedings of the 1996 5th Industrial Engineering Research Conference

Y2 - 18 May 1996 through 20 May 1996

ER -

Stochastic formulations of the redundancy allocation problem

Abstract

Other

All Science Journal Classification (ASJC) codes

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