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.
Note that Chapter 13 contains a student project description illustrating standard response surface methods and what might realistically be achieved in the course of a university project. Also, Chapter 14 reviews an application of sequential response surface methods to improve the robustness and profitability of a manufacturing process.
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References
Allen TT, Yu L (2002) Low Cost Response Surface Methods For and From Simulation Optimization. Quality and Reliability Engineering International 18: 5–17
Allen TT, Yu L, Bernshteyn M (2000) Low Cost Response Surface Methods Applied to the Design of Plastic Snap Fits. Quality Engineering 12: 583–591
Brady J, Allen T (2002) Case Study Based Instruction of SPC and DOE. The American Statistician 56 (4):1–4
Myers RH, Montgomery DA (2001) Response Surface Methodology, 5th edn. John Wiley & Sons, Inc., Hoboken, NJ
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(2010). DOE and Regression Case Studies. In: Introduction to Engineering Statistics and Lean Sigma. Springer, London. https://doi.org/10.1007/978-1-84996-000-7_17
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DOI: https://doi.org/10.1007/978-1-84996-000-7_17
Publisher Name: Springer, London
Print ISBN: 978-1-84882-999-2
Online ISBN: 978-1-84996-000-7
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