Warranty Analysis: A Non-Parametric Approach

Madan Mohanrao Jagtap

Abstract


Present work is to implement Non-Parametric Approach to warranty. Basic idea is while servicing product in warranty period against claim of customer, recording data for claim and frequency of claim helps in finding major problem in product. First time failure data available with dealers for consecutive five months which can be consider as data set for warranty analysis. Repair per thousand(R/1000), cumulative hazard rate and cost per unit (CPU) compares Month in service (MIS) of product for each manufacturing month, can be considered as non-parametric analysis of warranty data. It helps in finding variation product failure and cost related with it.


References


Wu, Y. and Wu, A. (2000). Taguchi Methods for Robust Design. New York: ASME.

John D. Andrews and T.R. Moss (2002), Reliability and Risk Assessment, Professional Engineering Publishing, London

William Q. Meeker and Luis A. Escobar (2004), ‘Reliability: The Other Dimension of Quality’, QTQM, Vol. 1, No. 1, pp. 1-25

Suzuki, K. (1995). Role of field performance data and its analysis. Recent Advances in Life-Testing and Reliability, 141–151.

Oh, Y. S. and Bai, D. S. (2001). Field data analysis with additional after-warranty failure data. Reliability Engineering and System Safety, 72, 1–8.

Phadke, M. S. (1989). Quality Engineering Using Robust Design. New Jersey: Prentice Hall.

Inman, R. R. and Gonsalvez, D. J. A. (1998). A cost-benefit model for production vehicle testing. IIE Transactions, 30, 1153–1160.

Murthy, D. N. P. and Djamaludin, I. (2002). New product warranty: A literature review.

International Journal of Production Economics, 79, 231–260.


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ISSN : 2251-1555