Determining the Optimum Manufacturing Target Based on an Asymmetric Quality Loss Function

2002 ◽  
Vol 21 (3) ◽  
pp. 193-195 ◽  
Author(s):  
C.-H. Chen ◽  
C.-Y. Chou
Keyword(s):  
Loss Function ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Asymmetric Quality Loss

Research of Asymmetric Quality Loss Function with Triangular Distribution

2013 ◽  
Vol 655-657 ◽  
pp. 2331-2334 ◽  
Author(s):  
Qiu Jin ◽  
Shao Gang Liu
Keyword(s):  
Mathematical Models ◽  
Loss Function ◽  
Loss Functions ◽  
Optimum Process ◽  
Triangular Distribution ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Process Mean ◽  
Asymmetric Quality Loss

The asymmetric quality loss functions with the triangular distribution for determining the optimum process mean are studied. The condition of using the linear and quadratic asymmetric quality loss function in the model is considered. The eight mathematical models under an asymmetric quality loss function with the triangular distribution based on the analysis of the linear and quadratic asymmetric quality loss function are presented. Finally, the validity of models is verified by the examples.

Process adjustment with an asymmetric quality loss function

2014 ◽  
Vol 33 (1) ◽  
pp. 159-165 ◽  
Author(s):  
Jun Zhang ◽  
Wei Li ◽  
Kaibo Wang ◽  
Ran Jin
Keyword(s):  
Loss Function ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Process Adjustment ◽  
Asymmetric Quality Loss

Applying the Quality Loss Function in Healthcare

2008 ◽  
pp. 102-107
Author(s):  
Elizabeth Cudney ◽  
Bonnie Paris
Keyword(s):  
Health Care ◽  
Loss Function ◽  
Health Care Services ◽  
Quadratic Loss ◽  
Healthcare Industry ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Quadratic Loss Function ◽  
Care Services ◽  
Fundamental Value

Using the quadratic loss function is one way to quantify a fundamental value in the provision of health care services: we must provide the best care and best service to every patient, every time. Sole reliance on specification limits leads to a focus on “acceptable” performance rather than “ideal” performance. This paper presents the application of the quadratic loss function to quantify improvement opportunities in the healthcare industry.

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