Optimal design for software reliability and development cost

Chi, Dianwei; Kuo, Way

doi:10.1109/49.46882

Cited by 16 publications

(2 citation statements)

References 6 publications

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“…This proposed availability allocation problem extends the reliability-redundancy allocation problem ( [13] [6][10] [3] [14] [7] [4] [12][9] [16]), which includes two decision variables such as the number of component, the failure rate of each component in each subsystem, by adding one more decision variable, the repair rate of each component for each subsystem. For solving reliability-redundancy allocation problems, a couple of famous combination methods have been published.…”

Section: Introductionmentioning

confidence: 99%

Availability optimization for repairable parallel-series system by applying Tabu-GA combination method

Liu

2012

IEEE 10th International Conference on Industrial Informatics

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This study looks at the system availability optimization problem under different resource and design configuration constraints by applying Tabu-GA combination method. From the point of view of logistics engineering, availability optimization applied in the initial system development period, plays a key role to affect system reliability, system maintenance planning, logistics requirements, and related costs during system planned life cycle. Generally, system availability can be improved by increasing component reliability level, component repair rate or the number of components in each subsystem.This proposed model is to combine Tabu method with Genetic Algorithm to solve system availability optimization problem. Through our method applied in the initial phase of system design and development, we can find the optimal allocation of component redundancy number, reliability and maintainability levels to minimize the total system cost under different configuration constraints such as weight, volume, and system availability requirements.The proposed numerical examples are demonstrated based on different system constraint requirements and parameter values. Through a simulation study of 30 times of calculations by applying this proposed combination method, stable results are clearly showed. We also perform the sensitivity analysis based on the cost parameters associated with reliability level and maintenance rate to provide very helpful information for system design and development process. Finally, the performance of this proposed Tabu-GA combination method is compared with SA-GA combination method and it turns out to be very good results in many aspects.

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Section: Introductionmentioning

confidence: 99%

Availability optimization for repairable parallel-series system by applying Tabu-GA combination method

Liu

2012

IEEE 10th International Conference on Industrial Informatics

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“…This proposed availability allocation problem extends the reliability-redundancy allocation problem ( [9]- [18]), which includes two decision variables such as the number of component, the failure rate of each component in each subsystem, by adding one more decision variable, the repair rate of each component for each subsystem. For solving reliability-redundancy allocation problems, a couple of famous combination methods have been published.…”

Section: Introductionmentioning

confidence: 99%

Availability Optimization for Repairable n-Stage Standby System by Applying Tabu-GA Combination Method

Liu¹

2013

IJMO

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Abstract-This study aims at the availability optimization problem for n-stage standby system under different resource and design configuration constraints by applying Tabu-GA combination method. From the point of view of logistics engineering, availability optimization applied in the initial system development period, plays a key role to affect system reliability, system maintenance planning, logistics requirements, and related costs during system planned life cycle. In general, system availability can be improved by increasing component reliability level, component repair rate or the number of components in each subsystem. This proposed model combines Tabu method with Genetic Algorithm to solve system availability optimization problem. Through our method applied in the initial phase of system design and development, we can find the optimal allocation of component redundancy number, reliability and maintainability levels to minimize the total system cost under different configuration constraints such as weight, volume, and system availability requirements. The proposed numerical examples are demonstrated based on different system constraint requirements and parameter values. Through a simulation study of 30 times of calculations by applying this proposed combination method, stable results are clearly showed. Consequently, all numerical results and simulation studies clearly show that the proposed availability optimization model and Tabu-GA combination method developed in this paper can help solving system availability optimization problem in the initial system design and development period.

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System Reliability Optimization: An Overview

Kuo

Prasad

2004

International Series in Operations Research &Amp; Management Science

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Optimal design for software reliability and development cost

Cited by 16 publications

References 6 publications

Availability optimization for repairable parallel-series system by applying Tabu-GA combination method

Availability optimization for repairable parallel-series system by applying Tabu-GA combination method

Availability Optimization for Repairable n-Stage Standby System by Applying Tabu-GA Combination Method

System Reliability Optimization: An Overview

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