Optimization limits in improving system reliability

Xu, Zunping; Kuo, Way; Lin, Hsin-Hui

doi:10.1109/24.52612

Cited by 87 publications

(38 citation statements)

References 10 publications

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“…It can be seen from Table 7, for series system(P1), the best results reported by Kuo et al [26], Xu etc. [27], Hikita etc. [28], Chen [6], Hsieh [29] and Valian [18] are 0.9275, 0.931677, 0.931363, 0.931678,0.931682340 and 0.931682387 respectively.…”

Section: Simulation Results Analysis and Discussionmentioning

confidence: 99%

Improved Bat Algorithm for Reliability-Redundancy Allocation Problems

Liu¹

2016

IJSIA

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Section: Simulation Results Analysis and Discussionmentioning

confidence: 99%

Improved Bat Algorithm for Reliability-Redundancy Allocation Problems

Liu¹

2016

IJSIA

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“…These methods are generally developed with different combinations of search methods and heuristic approaches. These combination methods are proved to be very efficient to solve different type of reliability-redundancy allocation problems by applying two appropriate heuristic methods to find the optimal discrete decision variable and continuous decision variable respectively ([10]- [13], [15], [18]). This paper will follow the same philosophy to develop the appropriate combination method to solve the availability allocation problem developed by this research.…”

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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“…They considered the optimal selection of both component types and their reliability in order to maximise the reliability of a series parallel system, with constraints on the reliability of the components. Other cases of the model are presented by: Chi and , Xu et al (1990), Hikita et al (1992), Majety et al (1999), Elegbede et al (2003), and Yalaoui et al (2005b). Chi and discussed the maximisation of the reliability of computer software by means of allocation of both reliability and redundancy to its components which were software programmes.…”

Section: Single Criterion Modelsmentioning

confidence: 99%

“…The cost of a software failure was constrained to an upper limit. Xu et al (1990) discussed the reliability optimisation of a parallel-series, a complex, and a series system in which their reliabilities were maximised with constraints on cost, weight and redundancy. Hikita et al (1992) extended their studies of the series-parallel system as in Hikita et al (1986) to a complex system.…”

Section: Single Criterion Modelsmentioning

confidence: 99%

“…Algorithms such as the surrogate worth tradeoff, the Lagrange multiplier, and geometric programming methods and their variants (efficient for the exact solution of continuous problems of the type posed by reliability allocation optimisation) could only approximate the solution in the case of redundancy or redundancy-reliability allocation optimisation (Munoz and Pierre, 2004;You and Chen, 2005). The approximation techniques involved the use of trial and error approaches to obtain integer solutions (Xu et al, 1990;You and Chen, 2005). The approximation techniques were popular when exact solution algorithms were not well developed.…”

Section: Single Criterion Modelsmentioning

confidence: 99%

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Models in design for reliability optimisation

Twum¹,

Aspinwall

2013

AJSIR

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This paper presents a state of the art review of the vibrant and fast growing field of reliability optimisation in design as it was in the early 1980s, when the field had started to gain attention, to date; in terms of research and development of theories and applications. The field is classified into the pertinent existing reliability optimisation strategies and the types of optimisation models employed. The solution methods used are also discussed. The models are critically reviewed and gaps needing attention noted. Particularly noted was the dominance of redundancy allocation optimisation over other strategies such as reliability allocation optimisation which virtues have not been fully explored. Attention is drawn also to the scarcity of multi-objective optimisation models in the literature, even though typically real life reliability optimisation problems are of that nature. The discussions are concluded by drawing attention to potential model formulations of the multiobjective type.

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Optimization limits in improving system reliability

Cited by 87 publications

References 10 publications

Improved Bat Algorithm for Reliability-Redundancy Allocation Problems

Improved Bat Algorithm for Reliability-Redundancy Allocation Problems

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

Models in design for reliability optimisation

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