Abstract
Material handling systems are designed to be repairable. There may be improvement in reliability early in equipment life and/or deterioration as the system is operated. Reliability is also a function of explanatory variables, such as operating environment or maintenance procedures. This chapter presents modeling approaches for reliability of repairable equipment including improvement or deterioration trends and/or explanatory variables. A case study is discussed for industrial lift trucks including modeling of reliability as stochastic processes. Time-to-first-failure for the lift trucks is shown to be distributed exponential with operational environment being an explanatory variable forming proportional hazards.
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References
Ascher, H. and H. Feingold, Repairable System Reliability, Marcel Dekker, Inc., New York (1984).
Cox, D.R., “Regression Models and Life Tables (with discussion),” Journal of the Royal Statistical Society, B34, pp. 187–220 (1972).
Crow, L.R., “Reliability Analysis for Complex Repairable Systems,” in F. Proschan and R. J. Serfling (Eds.), Reliability and Biometry, SIAM, Philadelphia, pp. 379–410 (1974).
Engelhardt, M. and L.J. Bain, “Statistical Analysis of a Compound Power-Law Model for Repairable Systems,” IEEE Transactions on Reliability, R-36, pp. 391–396 (1987).
Kalbfleisch, J.D. and R.L. Prentice, The Statistical Analysis of Failure Time Data, John Wiley and Sons, New York (1980).
Kaplan, E. L. and P. Meier, “Nonparametric Estimation from Incomplete Observations,” Journal of the American Statistical Association, 53, pp. 457–481 (1958).
Lawless, J.F., Statistical Models and Methods for Lifetime Data, John Wiley and Sons, New York (1982).
Lawless, J.F., “Regression Methods for Poisson Process Data,” Journal of the American Statistical Association, 82, pp. 808–815 (1987).
Prentice, R.L., B.J. Williams and A.V. Peterson, “On the Regression Analysis of Multivariate Failure Time Data,” Biometrika, 68, pp. 373–379 (1981).
Rigdon, S. E., and A.P. Basu, “The Power Law Process: A Model for the Reliability of Repairable Systems,” Journal of Quality of Technology, 21, 4, pp. 251–260 (1989).
Williams, B.J., Proportional Intensity Models for Multiple Event Times, Ph.D. Dissertation, University of Washington (1980).
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© 1991 Springer-Verlag Berlin, Heidelberg
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Landers, T.L., Qureshi, W.M. (1991). Industrial Lift Truck Reliability. In: Material Handling ’90. Progress in Material Handling and Logistics, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84356-3_21
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DOI: https://doi.org/10.1007/978-3-642-84356-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-84358-7
Online ISBN: 978-3-642-84356-3
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