Redundancy allocation to maximize a lower percentile of the system time-to-failure distribution

1998 ◽  
Vol 47 (1) ◽  
pp. 79-87 ◽  
Author(s):  
D.W. Coit ◽  
A.E. Smith
Keyword(s):  
Time To Failure ◽  
Redundancy Allocation ◽  
Failure Distribution ◽  
System Time ◽  
Lower Percentile

Analysis and genetic algorithm optimization of a series system with K-out-of-(n + m): G mixed standby subsystems subject to imperfect switching and elapsed repair time

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Neama Temraz
Keyword(s):  
Genetic Algorithm ◽  
Exponential Distribution ◽  
Failure Process ◽  
Repair Time ◽  
Allocation Problem ◽  
General Distribution ◽  
Time To Failure ◽  
Redundancy Allocation Problem ◽  
Redundancy Allocation ◽  
Content Type

PurposeIn this paper, a new general system consisted of l subsystems connected in series is introduced. Each subsystem connected in K-out-of-(n + m): G mixed standby configuration.Design/methodology/approachThe lifetime of the system's units is assumed to be exponentially distributed and there is elapsed repair time with general distribution. The switch in each subsystem is assumed to be imperfect with the failure process follows an exponential distribution. A genetic algorithm is applied to the system to obtain the optimal solution of the system and solve the redundancy allocation problem.FindingsAnalysis of availability, reliability, mean time to failure and steady-state availability of the system is introduced. The measures of the system are discussed in special two cases when the elapsed repair time follows gamma and exponential distribution. An optimization problem with bi-objective functions is introduced to minimize the cost of the system and maximize the reliability function. A numeric application is introduced to show the implementation and effectiveness of the system and redundancy allocation problem.Originality/valueA new general K-out-of-(n + m): G mixed standby model with elapsed repair time and imperfect switching is introduced.

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