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

Zhigang Wei (), Limin Luo, Fulun Yang, Burt Lin and Dmitri Konson
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Zhigang Wei: Tenneco Inc.
Limin Luo: Tenneco Inc.
Fulun Yang: Tenneco Inc.
Burt Lin: Tenneco Inc.
Dmitri Konson: Tenneco Inc.

A chapter in Quality and Reliability Management and Its Applications, 2016, pp 379-413 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-6778-5_13

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DOI: 10.1007/978-1-4471-6778-5_13

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