Confidence Interval Based Fuzzy Tests for Ratio Lifetime Index  
Author Kuen-Suan Chen

 

Co-Author(s) Chun-Min Yu; Tsang-Chuan Chang

 

Abstract Good product quality can enhance product lifetime and reliability; at the same time, it can also increase users’ satisfaction and willingness. Therefore, not only have many scholars invested in research on topics such as product quality and process capability, but they also have discussed the issues related to product lifetime and reliability. Among these issues, the product warranty period is an important index in the marketing of various products. The ratio lifetime performance index is based on the relative values of the product lifetime and the warranty period. Not only are they in line with the principle of simple indicators and easy management, but they are also more consistent with practical applications. In addition, considering cost, technology, and timeliness, the number of samples for product lifetime is usually not large. In order to reduce the risk of evaluation, this paper adopts the confidence interval of the ratio lifetime performance index to develop a two-tailed fuzzy test model, in order to determine whether the product reliability is poor or not. The method proposed in this paper is on the basis of statistical interval estimation, which can lower the risk of misjudgment. Meanwhile, the fuzzy test method integrates the past data gathered by experts to overcome the problem of insufficient accuracy caused by the number of samples which is too small.

 

Keywords Ratio lifetime index, Confidence interval, Two-tailed fuzzy test
   
    Article #:  RQD26-49
 

Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design
Virtual Event

August 5-7, 2021