Proceedings ArticleDOI
"The desirability function: underlying assumptions and application implications"
Douglas N. Fuller,William T. Scherer +1 more
- Vol. 4, pp 4016-4021
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TLDR
Critical issues that can arise from blind adherence to the concept of a "desirability function" are demonstrated.Abstract:
First introduced in 1965, the concept of a "desirability function" has gained wide acceptance as a method of determining parameter settings to optimize a process with multiple output measurements. Unfortunately, little attention has been paid to the underlying assumptions of decision theory on which the procedure is based. This paper demonstrates critical issues that can arise from blind adherence to this procedure.read more
Citations
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Optimization of multiple responses considering both location and dispersion effects
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References
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Book
Response Surface Methodology: Process and Product Optimization Using Designed Experiments
TL;DR: Using a practical approach, this book discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques.
Journal ArticleDOI
Simultaneous Optimization of Several Response Variables
TL;DR: In this article, the authors present a set of conditions that will result in a product with a desirable combination of properties, which is a problem facing the product development community in general.
Journal ArticleDOI
Modified Desirability Functions for Multiple Response Optimization
TL;DR: Modified desirability functions that are everywhere differentiable are presented so that more efficient gradient-based optimization methods can be used instead of search methods to optimize the overall desIRability response.
A Balancing Act: Optimizing a Product's Properties
TL;DR: Property balance problems can be solved by using a modified formula of E.C. Harrington’s desirability function and combining it with response surface methodology (RSM) to form a methodology called desIRability optimization methodology (DOM).
Journal ArticleDOI
Application of statistical design and response surface methods to computer-aided VLSI device design II. Desirability functions and Taguchi methods
TL;DR: Methodology which incorporates the philosophy and methods of Taguchi is developed to address the issues of designing for manufacturability and sensitivity analysis and is applied to the optimization of a BIMOS NPN transistor.
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