Add to ORKGLoss functions play a fundamental role in every quality engineering method. A new set of loss functions is proposed based on Taguchi’s societal loss concept. Its applications to robust parameter design are discussed in detail. The loss functions are shown to posses some interesting properties and lead to theoretical results that cannot be handled with other loss functions
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e...
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e...
The quality loss function proposed by Taguchi provides a quantitative measurement of product quality...
Taguchi first developed the quality loss function to better estimate the economic losses incurred by...
We propose a quartic function to represent a family of continuous quality loss functions. Depending ...
• The choice and design of loss functions is discussed. Particularly when computational methods like...
In this study, we consider estimating the cost matrix parameters of the multivariate quality loss fu...
Multivariate quality loss functions are commonly used in product and process design parameter optimi...
Another methodology has been proposed by Sharma and Ragsdell to bring about similarity among the thr...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-the-best, smal...
Quality loss functions have found widespread application in production engineering and today are an ...
Abstract: In robust parameter design, the quadratic loss function is commonly used. However, this lo...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-thebest, small...
In quality engineering, engineering intuition is often ineffective and inconclusive for interpreting...
###EgeUn###In quality engineering, engineering intuition is often ineffective and inconclusive for i...
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e...
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e...
The quality loss function proposed by Taguchi provides a quantitative measurement of product quality...
Taguchi first developed the quality loss function to better estimate the economic losses incurred by...
We propose a quartic function to represent a family of continuous quality loss functions. Depending ...
• The choice and design of loss functions is discussed. Particularly when computational methods like...
In this study, we consider estimating the cost matrix parameters of the multivariate quality loss fu...
Multivariate quality loss functions are commonly used in product and process design parameter optimi...
Another methodology has been proposed by Sharma and Ragsdell to bring about similarity among the thr...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-the-best, smal...
Quality loss functions have found widespread application in production engineering and today are an ...
Abstract: In robust parameter design, the quadratic loss function is commonly used. However, this lo...
The quality loss function developed by Genichi Taguchi considers three cases, nominal-thebest, small...
In quality engineering, engineering intuition is often ineffective and inconclusive for interpreting...
###EgeUn###In quality engineering, engineering intuition is often ineffective and inconclusive for i...
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e...
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e...
The quality loss function proposed by Taguchi provides a quantitative measurement of product quality...