Improving reliability design of multi-state k-out-of-n systems by fuzzy programming

• Published in: 2009 IEEE International Conference on Industrial Engineering and Engineering Management pp. 276 - 280
• Main Authors: Ebrahimipur, V., Azadeh, A., Quarashi, S.F.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2009
• Subjects: Costs; Design engineering; Design optimization; Educational institutions; Electronic mail; Fault tolerant systems; Fuzzy systems; FuzzyProgramming; Industrial engineering; K-out-of-N; Multi-state; Power generation; Reliability engineering; Reliability Optimization
• ISBN: 1424448697; 9781424448692
• ISSN: 2157-3611
• DOI: 10.1109/IEEM.2009.5373364

In a multi-state system, both the system and its components are allowed to experience more than two possible states, e.g. completely working, partially working or partially failed, and completely failed. In this paper reliability evaluation and reliability optimization of k-out-of-n systems are studied for the case where the components and the system have multiple performance levels. A recursive algorithm is used for reliability evaluation of multi-state k-out-of-n systems with independent components. Then a fuzzy model is presented for minimization total cost subject to reliability constraint. In the fuzzy model a fuzzy constraint is used for reliability that may we use different weights to constraint and objective function, and as a consequence the amount of importance of each objective function and reliability constraint can consider. Finally a numerical example is given.