Data Analysis Based on Warranty Database

  • Kazuyuki Suzuki
  • Wataru Yamamoto
  • Rezaul Karim
  • Lianhua Wang
Part of the Statistics for Industry and Technology book series (SIT)


While product quality and reliability are important to a manufacturer’s success, it is clearly desirable to minimize the amount of data that must be maintained in order to evaluate reliability. Too little data can compromise the manufacturer’s ability to analyze reliability while maintaining data unnecessarily is costly. For many industrial products, sales information comes from the database of the sales department and warranty records come from that of the maintenance department. That is, the data come from different sources. Thus, for specific products sold in a month, this database gives neither the exact number of failures at any month, nor the actual operating time (e.g. vehicle mileage or photocopy volumes) to failure. Furthermore, exact monthly sales figures for a particular product are not always available. Manufacturers encounter difficulties in obtaining detailed information on reliability from such limited databases. This paper investigates a “minimal” and “sufficient” database to estimate product reliability

Keywords and phrases

EM algorithm field reliability marginal count data non-homogeneous Poisson process reverse time hazard 


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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • Kazuyuki Suzuki
    • 1
  • Wataru Yamamoto
    • 1
  • Rezaul Karim
    • 1
  • Lianhua Wang
    • 1
  1. 1.University of Electro-CommunicationsTokyoJapan

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