Title :
Recent Advances in Optimal Reliability Allocation
Author :
Kuo, Way ; Wan, Rui
Author_Institution :
Dept. of Ind. & Inf. Eng., Tennessee Univ., Knoxville, TN
fDate :
3/1/2007 12:00:00 AM
Abstract :
Reliability has become a greater concern in recent years, because high-tech industrial processes with ever increasing levels of sophistication comprise most engineering systems today. To keep pace with this rapidly developing field, this paper provides a broad overview of recent research on reliability optimization problems and their solution methodologies. In particular, we address issues related to: 1) universal generating-function-based optimal multistate system design; 2) percentile life employed as a system performance measure; 3) multiobjective optimization of reliability systems, especially with uncertain component-reliability estimations; and 4) innovation and improvement in traditional reliability optimization problems, such as fault-tolerance mechanism and cold-standby redundancy-involved system design. New developments in optimization techniques are also emphasized in this paper, especially the methods of ant colony optimization and hybrid optimization. We believe that the interesting problems that are reviewed here are deserving of more attention in the literature. To that end, this paper concludes with a discussion of future challenges related to reliability optimization
Keywords :
optimisation; reliability theory; ant colony optimization; fault tolerance mechanism; multiobjective optimization; optimal reliability allocation; percentile life; reliability optimization problem; universal generating-function-based optimal multistate system design; Ant colony optimization; Design optimization; Fault tolerant systems; Life estimation; Optimization methods; Particle measurements; Reliability engineering; System performance; Systems engineering and theory; Technological innovation; Ant colony optimization (ACO); exact method; genetic algorithm (GA); metaheuristic algorithm; multiobjective optimization; multistate system (MSS); percentile life; reliability optimization; reliability redundancy allocation;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2006.889476