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Erschienen in:
A Multicriteria Multistep Approach for Evaluating Supplier Quality in Large Data Sets Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Systemability: A New Reliability Function for Different Environments

verfasst von : Alessandro Persona, Fabio Sgarbossa, Hoang Pham

Erschienen in: Quality and Reliability Management and Its Applications

Verlag: Springer London

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Abstract

Industrial applications often observe the difference between laboratory reliability test in standard conditions and component or system reliability when it is set in motion through different environments and real-world conditions. As a matter of fact reliability variable is considerably influenced by environmental factors. Environmental factors may change failure rate, reliability, and availability of systems.

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Vorheriges Kapitel System Reliability Evaluation of a Multistate Manufacturing Network
Nächstes Kapitel Innovative Maintenance Management Methods in Oil Refineries
Literatur
Abbasi, B., Jahromi, A., H., E., Arkat, J., & Hosseinkouchack, M., (2006). Estimating the parameters of Weibull distribution using simulated annealing algorithm. Applied Mathematics and Computation, 183, 85–93.
Attardi, L., Guida, M., & Pulcini, G. (2005). A mixed-Weibull regression model for the analysis of automotive warranty data. Reliability Engineering & System Safety, 87, 265–273.CrossRef
Badia, F. G., Berrade, M. D., & Campos, C. A. (2002). Aging properties of the additive and proportional hazard mixing models. Reliability Engineering & System Safety, 78, 165–172.CrossRef
Barlow, R. E., & Proshan, F. (1965). Mathematical theory of reliability. New York: Wiley.
Battini, D., Faccio, M., Persona, A., & Sgarbossa, F., (2007). Reliability in random environment: Systemability and its application. In Proceeding of 13th International Society of Science and Applied Technologies ISSAT (ISSAT 07), August 2–4, Seattle, Washington USA
Battini, D., Faccio, M., Persona, A., & Sgarbossa, F., (2008). Reliability of motorcycle components using systemability approach. In Proceeding of 14th International Society of Science and Applied Technologies ISSAT (ISSAT 08), August 6–9, Orlando, Florida, USA
Carroll, K. J. (2003). On the use and utility of the Weibull model in the analysis of survival data. Controlled Clinical Trials, 24, 682–701.CrossRef
Chien, Y. H. (2008). Optimal age-replacement policy under an imperfect renewing free-replacement warranty. IEEE Transactions on Reliability, 57(1), 125–133.MathSciNetCrossRef
Chien, Y. H., Sheu, S. H., & Chang, C. C. (2009). Optimal age-replacement time with minimal repair based on cumulative repair cost limit and random lead time. International Journal of System Science, 40(7), 703–715.MathSciNetCrossRefMATH
Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–220.MathSciNetMATH
Crow, L. H. (1974). Reliability analysis for complex, repairable systems. In F. Proschan & R. J. Serfing (Eds.), Reliability and biometry (pp. 379–410). Philadelphia: SIA.
Elsayed, E. A., & Wang, H. Z. (1996). Bayes and classical estimation of environmental factors for the binomial distribution. IEEE Transaction on Reliability, 45(4), 661–665.CrossRef
Faccio, M., Persona, A., Sgarbossa, F., & Zanin, G. (2014). Industrial maintenance policy development: A quantitative framework. International Journal of Production Economics, 147(Part A), 85–93.
Finkelstein, M. S. (2003). The expected time lost due to an extra risk. Reliability Engineering & System Safety, 82, 225–228.CrossRef
Finkelstein, M. S. (2006). On relative ordering of mean residual lifetime functions. Statistics & Probability Letters, 26, 939–944.MathSciNetCrossRefMATH
Kenzin, M., & Frostig, E. (2009). M out of n inspected systems subject to shocks in random environment. Reliability Engineering and System Safety, 94(8), 1322–1330.CrossRefMATH
Murthy, D. N. P., & Whang, M. C. (1996). Optimal discrete and continuous maintenance policy for a complex unreliable machine. International Journal of Systems Science, 27(5), 483–495.CrossRefMATH
Oh, Y. S., & Bai, D. S. (2001). Field data analysis with additional after-warranty failure data. Reliability Engineering and System Safety, 72.
Persona, A., Pham, H., Regattieri, A., & Battini, D. (2007). Remote control and maintenance outsourcing networks and its applications in supply chain management. Journal of Operations Management, 25, 1275–1291.CrossRef
Persona, A., Pham, H., & Sgarbossa, F. (2009). Systemability function to optimisation reliability in random environment. International Journal of Mathematics in Operational Research, 1(3), 397–417. ISSN:1757-5850.
Pham, H. (2003). Software reliability and cost models. Perspectives, comparison and practice. European Journal of Operational Research, 149, 475–489.MathSciNetCrossRefMATH
Pham, H. (2005a). A new generalized systemability model. International Journal of Performability Engineering, 1(2), 145–155.
Pham, H. (2005b). A novel systemability function and its application. International Topical Meeting on Environmental Reliability Risk Studies, February 24–25, Seoul, Korea.
Pham, H. (2005c). A new generalized systemability model. In Proceedings of the 11th International Society of Science and Applied Technologies ISSAT (ISSAT 2005), August 4–6, St. Louis, Missouri, USA.
Pham, H. (2005d). Springer handbook of engineering statistic. Springer.
Pham, H., & Wang, H. (1996). A quasi-renewal process for software reliability and testing costs. IEEE Transactions on Systems, Man and Cyernetics– Part A, 31(6).
Pham, H., & Wang, H. (1997). Changes to: A quasi renewal process and its applications in imperfect maintenance. International Journal of Systems Science, 28(12), 1329–13210.CrossRefMATH
Ram, S. K. C., & Tiwari (1989). Bayes estimation of reliability under a random environment. IEEE Translaction of Reliability, 38.
Sgarbossa, F., Persona, A., & Pham, H. (2010). Age replacement policy in random environment using systemability. International Journal of System Science, 41(11), 1383–1397. ISSN: 0020-7721.
Sgarbossa, F., & Pham, H. (2010). A cost analysis of systems subject to random field environments and reliability. IEEE Transactions on Systems, Man and Cyernetics– Part C: Applications and Reviews, 40(4), 429–437.  
Sgarbossa, F., Persona, A., & Pham, H. (2015). Using Systemability Function for Periodic Replacement Policy in Real Environments. Quality and Reliability Engineering International, 31(4), 617–633.
Sohn, S. Y., Chang, I. S., & Moon, T. H. (2007). Random effects Weibull regression model for occupational lifetime. European Journal of Operational Research, 179, 124–131.MathSciNetCrossRefMATH
Tamura, Y., Yamada, S., & Kimura, M. (2006). Software reliability modelling in distributed development environment. Journal of Quality in Maintenance Engineering, 12(4), 425–432.CrossRef
Tan, J. S., & Kramer, M. A. (1997). A general framework for preventive maintenance optimization in chemical process operations. Computer & Chemical Engineering, 21(12), 1451–1469.CrossRef
Teng, X., & Pham, H. (2004). A software cost model for quantifying the gain with considerations of random field environments. IEEE Transaction on Computer, 53(3), 380–384.CrossRef
Teng, X., & Pham, H. (2006). A new methodology for predicting software reliability in the random field environments. IEEE Transaction on Reliability, 45(4), 458–468.CrossRef
Wang, H. (2002). A survey of maintenance policies of deteriorating systems. European Journal of Operational Research, 139(3), 469–489.CrossRefMATH
Wang, H., & Pham, H. (1996). Optimal maintenance policies for several imperfect repair models. International Journal of Systems Science, 27(6), 543–550.CrossRefMATH
Wang, H. Z., Ma, B. H., & Shi, J. S. (1992a). A research study of environmental factors for the gamma distribution. Microelectronic Reliability, 32(3), 331–335.CrossRef
Wang, H. Z., Ma, B. H., & Shi, J. S. (1992b). Estimation of environmental factors for the normal distribution. Microelectronic Reliability, 32(4), 457–463.CrossRef
Wang, H. Z., Ma, B. H., & Shi, J. S. (1992c). Estimation of environmental factors for the log normal distribution. Microelectronic Reliability, 32(5), 679–685.CrossRef
Wang, H. Z., Ma, B. H., & Shi, J. S. (1992d). Estimation of environmental factors for the inverse gaussian distribution. Microelectronic Reliability, 32(7), 931–934.CrossRef
Wang, L., Chu, J., & Mao, W. L. (2009). A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure. European Journal of Operational Research, 149(1), 184–205.CrossRefMATH
Zhang, X., & Pham, H. (2006). Software field failure rate prediction before software deployment. The Journal of Systems and Software, 79, 291–300.CrossRef
Zhang, X., Shin, M. Y., & Pham, H. (2001). Exploratory analysis of environmental factors for enhancing the software reliability assessment. The Journal of Systems and Software, 57, 73–78.CrossRef
Zhao, J., Liu, H. W., Cui, G., & Yang, X. Z. (2006). Software reliability growth model with change-point and environmental function. The Journal of Systems and Software, 7, 1578–1587.CrossRef
Metadaten
Titel
Systemability: A New Reliability Function for Different Environments
verfasst von
Alessandro Persona
Fabio Sgarbossa
Hoang Pham
Copyright-Jahr
2016
Verlag
Springer London
Buch
Quality and Reliability Management and Its Applications

Print ISBN: 978-1-4471-6776-1

Electronic ISBN: 978-1-4471-6778-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-1-4471-6778-5_6

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