Optimal Replacement Age and Maintenance Cost: A Case Study
American Journal of Theoretical and Applied Statistics
Volume 4, Issue 2, March 2015, Pages: 53-57
Received: Feb. 21, 2015;
Accepted: Mar. 4, 2015;
Published: Mar. 14, 2015
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Nayeema Sultana, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh
Md. RezaulKarim, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh
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Maintenance plays a very vital role throughout an equipment/system’s planned life-cycle. Maintenance costs contribute a major portion of the life cycle costs of an equipment or system. This paper analyzes a set of failure data of a particular type of battery that used in automobile and/or trailer and proposes the optimal maintenance age at which the non-failed battery be maintained. A 2-fold Weibull mixture distribution is selected as the suitable distribution for the lifetime of the battery. The Expectation-Maximization (EM) algorithm is applied to estimate the parameters of the mixture distribution. The research will be of interest for effective maintenance management to maintenance engineers and managers working in battery manufacturing industry, as well as customers and service providers.
Maintenance, 2-fold WeibullMixture Distribution, EM Algorithm, Optimal Replacement Age
To cite this article
Optimal Replacement Age and Maintenance Cost: A Case Study, American Journal of Theoretical and Applied Statistics.
Vol. 4, No. 2,
2015, pp. 53-57.
Aditya, P. and Uday, K., 2006. Maintenance performance measurement (MPM): issues and challenges. Journal of Quality in Maintenance Engineering, 12(3), pp.239-251.
Blischke, W.R., Karim, M.R. and Murthy, D.N.P. (2011), Warranty Data Collection and Analysis, Springer Verlag, London.
Duffuaa,S.O., Raouf,A.andCambell,J.D. (1999), planning and control of maintenance systems:modeling and analysis, John Wiley & sons.
Eichler, C. (1990). Instandhaltungstechniken. VerlagTechnik GmbH, Berlin.
Hale AH, Heming BHJ, Smit K, Rodenburg FG, Van Leeuwen ND (1998) Evaluating Safety in the Management of Maintenance Activities in the Process Industry. SafSci28(1): 21–44.
Mobley, R. K., 2004. Maintenance fundamentals. 2nd ed. Burlington, Mass.: Butterworth Heinemann.
U. Kumar, D. Galar, A. Parida, C.Stenström, L. Berges, Maintenance Performance Metrics: A State of the Art Review, ISBN 978-91-7439-379-8.