scholarly journals OPTIMUM MANAGEMENT IN ACHIEVING THE INDUSTRIAL QUALITY GOALS

2021 ◽  
Vol 23 (4) ◽  
pp. 18-26
Author(s):  
A.G. Ivakhnenko ◽  
◽  
O.V. Anikeeva ◽  
Keyword(s):  
Mathematical Model ◽  
Differential Equations ◽  
Loss Function ◽  
Linear Control ◽  
Quadratic Functional ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Control Laws ◽  
Constant Coefficients ◽  
Optimum Management

A mathematical model for targeted control in the field of quality, which is a system of ordinary differential equations with constant coefficients, is considered. The solutions of this system are given for the most common stepwise and linear control laws in practice. An example of optimization based on the classical quadratic functional corresponding to the Taguti quality loss function is considered, using actual data based on the results of an industrial enterprise.

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.

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.

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