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Reliability of stochastic systems

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Encyclopedia of Operations Research and Management Science
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INTRODUCTION

The coming decades may well be known for the popularization of the Q word– quality . Phrases like quality circles, total quality management, and total quality integration practically became household words, even though old standbys like quality control and quality assurance have been the subject of study of industrial engineers and statisticians for many of the preceding decades. Intricately related to quality, in fact, a necessary ingredient, is reliability, loosely defined as the probability that a system, subject to random failures, will perform properly over some time span of interest. This definition shall be made more precise in the following. One might be able to have reliability without quality, but one can never have quality without reliability.

The major issue here is a consideration of the probability structure of systems made up of individual components, each with a known lifetime density, say, f i(t). The two basic combinations of system design are the series...

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References

  1. Barlow, R.E. (1998). Engineering Reliability. ASASIAM Series on Statistics and Applied Probability. SIAM, Philadelphia.

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  2. Barlow, R.E. and Proschan, F. (1975). Statistical Theory of Reliability and Life Testing. Holt, Rinehart and Winston, New York.

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  3. Crowder, M.J., Kimber, A.C., Smith, R.L., and Sweeting, T.J. (1991). Statistical Analysis of Reliability Data. Chapman and Hall, London.

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  4. Hillier, F.S. and Lieberman, G.J. (1990). Introduction to Stochastic Models in Operations Research, McGraw Hill, New York.

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  5. Kaufmann, A., Grouchko, D., and Cruon, R. (1977). Mathematical Models for the Study of the Reliability of Systems. Academic Press, New York.

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© 2001 Kluwer Academic Publishers

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Gross, D. (2001). Reliability of stochastic systems . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_877

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  • DOI: https://doi.org/10.1007/1-4020-0611-X_877

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-7923-7827-3

  • Online ISBN: 978-1-4020-0611-1

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