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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References
Allen TT, Yu L (2002) Low cost response surface methods for and from simulation optimization. Qual Reliab Eng Int 18:5–17
Allen TT, Yu L, Bernshteyn M (2000) Low cost response surface methods applied to the design of plastic snap fits. Qual Eng 12:583–591
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Brady J, Allen T (2002) Case study based instruction of SPC and DOE. Am Stat 56(4):1–4
Myers RH, Montgomery DA (2001) Response surface methodology, 5th edn. Wiley, Hoboken, NJ
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Allen, T.T. (2019). DOE and Regression Case Studies. In: Introduction to Engineering Statistics and Lean Six Sigma. Springer, London. https://doi.org/10.1007/978-1-4471-7420-2_17
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DOI: https://doi.org/10.1007/978-1-4471-7420-2_17
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