Abstract
To improve the reliability of the system, the component can be used as parallel or redundant backup. Among them, the parallel connection mode is simple and the cost is low, but the reliability of increasing rate is small. The other one connection mode is complexity and cost is high, but the reliability is improved greatly. The actual system has many components, through the combination of the original component can produce a variety of ways of connection mode, its composition space is exponential. Every connection mode has its reliability and cost, they are a pair of contradictory goals, how to choose the best connection mode to make the reliability and economy to achieve better, in other words, how much of the number of components are choose for parallel and the number of it for redundant are the best choice? This find the optimal number of for parallel and redundant backups in the sense of Pareto, and analysis the relation between optical connection mode and time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Luss, H.: An inspection policy model for production facilities. J. Manag. Sci. 29, 101–109 (1983)
Bao-he, S.: Reliability and optimal inspection policy of inspected systems. J. OR Trans. 11(1) (2007)
Bao-he, S.: Study on optimal inspection polices based on reliability indices. J. Eng. Math. 25(6) (2008)
Zequeira Romulo, I., Berenguer, C.: On the inspection policy of a two-component parallel system with failure interaction. J. Reliab. Eng. Syst. Saf. 88(1), 99–107 (2005)
Li, F., Zhu, C., Wang, W.: Cost models and optimization of redundant system. J. Syst. Eng. Electr. 22(9) (2000)
Misra, K.B., Ljubojevic, M.D.: Optimal reliability design of a system-a new look. J. IEEE Trans. Reliab. (1973)
Yearout, R.D., Reddy, P., Grosh, D.L.: Stand by redundancy in reliability-a review. J. IEEE Trans. Reliab. (1986)
Gen, M., Ida, K., Sasaki, M., Lee, J.: Algorithm for solving large-scale 0-1 goal programming and its application to reliability optimization problem. J. Int. J. Comput. Ind. Eng. (1989)
Gen, M., Ida, K., Taguchi, T.: Reliability optimization problems: a novel genetic algorithm approach, technical report, ISE93-5. J. Ashikaga Inst. Technol. Ashikaga Jpn. (1993)
Gen, M., Ida, K., Kim, J.R.: System reliability optimization with fuzzy goals using genetic algorithm. J. Jpn. Soc. Fuzzy Theory Syst. 10(2), 356–365 (1998)
Yokota, T., Gen, M., Li, Y.: Genetic algorithms for nonlinear mixed integer programming problems and its applications. J. Comput. Ind. Eng. 30(4), 905–917 (1996)
Xu, L., Xie, C.F., Xu, L.X.: Reliability envelope analysis. J. Comput. 25(4), 26–34 (2014)
Zong-shu, W.: Probability and Mathematical Statistics. China Higher Education Press, Beijing (2008)
Acknowledgments
This research was partially supported by the School of Mathematics and Computer Science of Fujian Normal University, by the Institute of Innovative Information Industry of Fujian Normal University, by the School of Economic of Fujian Normal University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Xie, CF., Xu, L., Xu, LX. (2017). The Reliability and Economic Analysis on System Connection Mode. In: Pan, JS., Lin, JW., Wang, CH., Jiang, X. (eds) Genetic and Evolutionary Computing. ICGEC 2016. Advances in Intelligent Systems and Computing, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-48490-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-48490-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48489-1
Online ISBN: 978-3-319-48490-7
eBook Packages: EngineeringEngineering (R0)