Warranty Cost Analysis

WALLACE R. BUSCHKE is an Associate Professor in the Decision Systems Department of the Graduate School of Business Administration at the University of Southern California, Los Angeles, and a Consultant in statistical analysis. The author of over 30 professional papers, Dr. Blischke is a Fellow of the American Statistical Association and a member of the Institute of Management Sciences, the Institute of Mathematical Statistics, and the Biometric Society, among others. He received the B.S. degree (1956) in mathematics from Elmhurst College, Illinois, and the M.S. (1958) and Ph.D. (1961) degrees in statistics from Cornell University, Ithaca, New York., D. N. PRABHAKAR MURTHY is the Academic Director of the Technology Management Centre at the University of Queensland, Australia. The author or coauthor of over 150 professional papers and the coauthor of a book on mathematical modelling, Dr. Murthy is a founding member of the International Technology Management Association and a member of the Institute of Management Sciences, the Operations Research Society of America, the Institute of Electrical and Electronics Engineers, and the Institute of Industrial Engineers, among others. He received the B.E. degree (1965) in electrical engineering from Jabalpur University, India, the M.E. degree (1967) in electronics from the Indian Institute of Science, and the M.S. (1971) and Ph.D. (1972) degrees in applied mathematics from Harvard University, Cambridge, Massachusetts.

• An Overview Warranty Policy and Modeling Issues Stochastic Processes for Warranty Modeling Analysis of the Basic Free-Replacement Warranty Analysis of the Basic Pro-Rata Warranty Complex One-Dimensional Warranties Reliability Improvement Warranties Two-Dimensional Warranty Policies Warranty Servicing Warranty and Engineering The Simulation Approach to Warranty Analysis Statistical Estimation of Warranty Costs Case Studies A Comprehensive Framework for the Study of Warranty Symbols and Notations Appendix A: Basic Results from Probability Theory Appendix B: Proofs of Results in Chapter 3 Appendix C: Calculation of Renewal Functions Index for Policies