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Optimal allocation under partial ordering of lifetimes of components

Published online by Cambridge University Press:  01 July 2016

Emad El-Neweihi*
Affiliation:
University of Illinois, Chicago
Jayaram Sethuraman*
Affiliation:
Florida State University
*
* Postal address: Department of Mathematics, Statistics and Computer Science, University of Illinois, Chicago, IL 60680, USA.
** Postal address: Department of Statistics and Statistical Consulting Center, The Florida State University, Tallahassee, FL 32306-3303, USA.

Abstract

Assembly of systems to maximize reliability when certain components of the systems can be bolstered in different ways is an important theme in reliability theory. This is done under assumptions of various stochastic orderings among the lifetimes of the components and the spares used to bolster them. The powerful techniques of Schur and arrangement increasing functions are used in this paper to pinpoint optimal allocation results in different settings involving active and standby redundancy allocation, minimal repair and shock-threshold models.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1993 

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Footnotes

Research supported by Army Research Office Grant DAAL03-90-G-0103.

References

Ascher, H. and Feingold, H. (1984) Repairable Systems and Reliability. Dekker, New York.Google Scholar
Barlow, R. E. and Hunter, L. (1960) Optimum preventive maintenance policies. Operat. Res. 8, 90100.Google Scholar
Boland, P. J., El-Neweihi, E. and Proschan, F. (1988) Active redundancy allocation in coherent systems. Prob. Eng. Inf. Sci. 2, 343353.Google Scholar
Boland, P. J., El-Neweihi, E. and Proschan, F. (1992) Stochastic order for redundancy allocations in series and parallel systems. Adv. Appl. Prob. 24, 161171.CrossRefGoogle Scholar
Caperaa, P. (1988) Tail ordering and asymptotic efficiency of rank test. Ann. Statist. 16, 472478.Google Scholar
Derman, C., Lieberman, G. J. and Ross, S. M. (1974) Assembly of systems having maximum reliability. Nav. Res. Logist. Quart. 21, 112.Google Scholar
El-Neweihi, E., Proschan, F. and Sethuraman, J. (1986) Optimal allocation of components in parallel-series and series-parallel systems. J. Appl. Prob. 23, 770777.Google Scholar
Hollander, M., Proschan, F. and Sethuraman, J. (1977) Functions decreasing in transposition and their applications in ranking problems. Ann. Statist. 5, 722733.CrossRefGoogle Scholar
Karlin, S. and Proschan, F. (1960) Pólya type distributions of convolutions. Ann. Math. Statist. 31, 721736.Google Scholar
Keilson, J. and Sumita, U. (1982) Uniform stochastic ordering and related inequalities. Canad. J. Statist. 10, 181189.CrossRefGoogle Scholar
Marshall, A. W. and Olkin, I. (1979) Inequalities: Theory of Majorization and Its Applications. Academic Press, New York.Google Scholar
Pledger, G. and Proschan, F. (1971) Comparisons of order statistics and of spacings from heterogeneous distributions. In Optimizing Methods in Statistics, ed. Rustagi, J. S., Academic Press, New York.Google Scholar
Ross, S. M. (1983) Stochastic Processes. Wiley, New York.Google Scholar
Shaked, M. and Shanthikumar, J. G. (1992) Optimal allocation of resources to nodes of parallel and series systems. Adv. Appl. Prob. 24, 894914.Google Scholar