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2019 | OriginalPaper | Chapter

17. DOE and Regression Case Studies

Author : Theodore T. Allen

Published in: Introduction to Engineering Statistics and Lean Six Sigma

Publisher: Springer London

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Abstract

In this chapter, two additional case studies illustrate design of experiments (DOE) and regression being applied in real-world manufacturing. The first study involved the application of screening methods for identifying the cause of a major quality problem and resolving that problem. The second derives from Allen et al. (2000) and relates to the application of a type of response surface method. In this second study, the design of an automotive part was tuned to greatly improve its mechanical performance characteristics.

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previous chapter Advanced Regression and Alternatives
next chapter DOE and Regression Theory
Literature
Allen TT, Yu L (2002) Low cost response surface methods for and from simulation optimization. Qual Reliab Eng Int 18:5–17CrossRef
Allen TT, Yu L, Bernshteyn M (2000) Low cost response surface methods applied to the design of plastic snap fits. Qual Eng 12:583–591CrossRef
Box GE, Hunter JS (1961) The 2k—p fractional factorial designs. Technometrics 3(3):311–351MathSciNet
Brady J, Allen T (2002) Case study based instruction of SPC and DOE. Am Stat 56(4):1–4CrossRef
Myers RH, Montgomery DA (2001) Response surface methodology, 5th edn. Wiley, Hoboken, NJ
Metadata
Title
DOE and Regression Case Studies
Author
Theodore T. Allen
Copyright Year
2019
Publisher
Springer London
Book
Introduction to Engineering Statistics and Lean Six Sigma

Print ISBN: 978-1-4471-7419-6

Electronic ISBN: 978-1-4471-7420-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-1-4471-7420-2_17

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