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Optimal testing and repairing a failed series system

Identifieur interne : 000614 ( PascalFrancis/Curation ); précédent : 000613; suivant : 000615

Optimal testing and repairing a failed series system

Auteurs : Mikhail Y. Kovalyov [Biélorussie] ; Marie-Claude Portmann [France] ; Ammar Oulamara [France]

Source :

RBID : Pascal:06-0493027

Descripteurs français

English descriptors

Abstract

We consider a series repairable system that includes n components and assume that it has just failed because exactly one of its components has failed. The failed component is unknown. Probability of each component to be responsible for the failure is given. Each component can be tested and repaired at given costs. Both testing and repairing operations are assumed to be perfect, that is, the result of testing a component is a true information that this component is failed or active (not failed), and the result of repairing is that the component becomes active. The problem is to find a sequence of testing and repairing operations over the components such that the system is always repaired and the total expected cost of testing and repairing the components is minimized. We show that this problem is equivalent to minimizing a quadratic pseudo-boolean function. Polynomially solvable special cases of the latter problem are identified and a fully polynomial time approximation scheme (FPTAS) is derived for the general case. Computer experiments are provided to demonstrate high efficiency of the proposed FPTAS. In particular, it is able to find a solution with relative error s = 0.1 for problems with more than 4000 components within 5 minutes on a standard PC with 1.2 Mhz processor.
pA  
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A03   1    @0 J. comb. optim.
A05       @2 12
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A08 01  1  ENG  @1 Optimal testing and repairing a failed series system
A11 01  1    @1 KOVALYOV (Mikhail Y.)
A11 02  1    @1 PORTMANN (Marie-Claude)
A11 03  1    @1 OULAMARA (Ammar)
A14 01      @1 Faculty of Economics, Belarusian State University, and United Institute of Informatics Problems, National Academy of Sciences of Belarus, Skorini 4 @2 220050 Minsk @3 BLR @Z 1 aut.
A14 02      @1 MACSI Project LORIA-INRIA, Ecole des Mines de Nancy, Pare de Saurupt @2 540042 Nancy @3 FRA @Z 2 aut. @Z 3 aut.
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A21       @1 2006
A23 01      @0 ENG
A43 01      @1 INIST @2 26611 @5 354000133266580060
A44       @0 0000 @1 © 2006 INIST-CNRS. All rights reserved.
A45       @0 8 ref.
A47 01  1    @0 06-0493027
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A64 01  1    @0 Journal of combinatorial optimization
A66 01      @0 USA
C01 01    ENG  @0 We consider a series repairable system that includes n components and assume that it has just failed because exactly one of its components has failed. The failed component is unknown. Probability of each component to be responsible for the failure is given. Each component can be tested and repaired at given costs. Both testing and repairing operations are assumed to be perfect, that is, the result of testing a component is a true information that this component is failed or active (not failed), and the result of repairing is that the component becomes active. The problem is to find a sequence of testing and repairing operations over the components such that the system is always repaired and the total expected cost of testing and repairing the components is minimized. We show that this problem is equivalent to minimizing a quadratic pseudo-boolean function. Polynomially solvable special cases of the latter problem are identified and a fully polynomial time approximation scheme (FPTAS) is derived for the general case. Computer experiments are provided to demonstrate high efficiency of the proposed FPTAS. In particular, it is able to find a solution with relative error s = 0.1 for problems with more than 4000 components within 5 minutes on a standard PC with 1.2 Mhz processor.
C02 01  X    @0 001D01A04
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C03 01  X  FRE  @0 Optimisation combinatoire @5 01
C03 01  X  ENG  @0 Combinatorial optimization @5 01
C03 01  X  SPA  @0 Optimización combinatoria @5 01
C03 02  X  FRE  @0 Approximation polynomiale @5 02
C03 02  X  ENG  @0 Polynomial approximation @5 02
C03 02  X  SPA  @0 Aproximación polinomial @5 02
C03 03  X  FRE  @0 Fonction booléenne @5 03
C03 03  X  ENG  @0 Boolean function @5 03
C03 03  X  SPA  @0 Función booliana @5 03
C03 04  X  FRE  @0 Fonction quadratique @5 04
C03 04  X  ENG  @0 Quadratic function @5 04
C03 04  X  SPA  @0 Función cuadrática @5 04
C03 05  X  FRE  @0 Défaillance @5 05
C03 05  X  ENG  @0 Failures @5 05
C03 05  X  SPA  @0 Fallo @5 05
C03 06  X  FRE  @0 Dépannage @5 06
C03 06  X  ENG  @0 Repairing @5 06
C03 06  X  SPA  @0 Reparo @5 06
C03 07  X  FRE  @0 Réparation @5 07
C03 07  X  ENG  @0 Repair @5 07
C03 07  X  SPA  @0 Reparación @5 07
C03 08  X  FRE  @0 Système réparable @5 08
C03 08  X  ENG  @0 Repairable system @5 08
C03 08  X  SPA  @0 Sistema reparable @5 08
C03 09  X  FRE  @0 Système série @5 09
C03 09  X  ENG  @0 Series system @5 09
C03 09  X  SPA  @0 Sistema serie @5 09
C03 10  X  FRE  @0 Temps polynomial @5 10
C03 10  X  ENG  @0 Polynomial time @5 10
C03 10  X  SPA  @0 Tiempo polinomial @5 10
C03 11  X  FRE  @0 Détection panne @5 11
C03 11  X  ENG  @0 Failure detection @5 11
C03 11  X  SPA  @0 Detección falla @5 11
N21       @1 324
N44 01      @1 PSI
N82       @1 PSI

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Pascal:06-0493027

Le document en format XML

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