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Product Durability/Reliability Design and Validation Based on Test Data Analysis

  • Zhigang Wei
  • Limin Luo
  • Fulun Yang
  • Burt Lin
  • Dmitri Konson
Chapter
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

Better quality leads to less waste, improved competitiveness, higher customer satisfaction, higher sales and revenues, and eventually higher profitability. Meeting the quality and performance goals requires that decisions be based on reliable tests and quantitative test data analysis. Statistical process control (SPC) is such a fundamental quantitative approach to quality control and improvement. Walter Shewhart in 1920s and 1930s pioneered the use of statistical methods as a tool to manage and control production.

Keywords

Probabilistic Density Function Failure Mode Statistical Process Control Lower Stress Level Design Curve 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The authors would like to thank Prof. Kamran Nikbin, Prof. D. Gary Harlow, Mr. Kay Ellinghaus, Mr. Markus Pieszkalla, Mr. Marek Rybarz, Dr. Pierre Olivier Santacreu, Mr. Maleki Shervin, Mr. Herry Cheng, Mr. Tim Gardner, Mr. Joesph Berkemeier, and Mr. Richard Voltenburg for their helpful comments and contributions to works summarized in this chapter.

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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Zhigang Wei
    • 1
  • Limin Luo
    • 1
  • Fulun Yang
    • 1
  • Burt Lin
    • 1
  • Dmitri Konson
    • 1
  1. 1.Tenneco Inc.Grass LakeUSA

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