Harrington’s desirability function approach is frequently used to overcome the problem of optimization of multiple responses simultaneously. However, this method will give a huge impact in the presence of outliers. Hence, it is not reliable to use Harrington’s desirability function method to find the optimum responses in this case because it is not resistant to outliers. As an alternative, Modified Geometric Mean (MGM) approach is proposed to estimate the parameter since this approach is resistant to outliers. Numerical example study is carried out to compare the performance of the proposed method with existing procedures. Based on the value of the overall desirability function,D,MGM is better compared w...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
As will be shown the current use of Desirability Indices for optimisation purposes in experimental d...
This thesis provides some extensions to the existing method of determining the optimization conditio...
Harrington’s desirability function approach is usually used to overcome the problem of optimization ...
A desirability function approach has been widely used in multi-response optimization due to its simp...
In today’s world, quality has been the key issue to the success of many multinational organizations....
A review about the application of response surface methodology (RSM) when several responses have to ...
Quality engineering practitioners have great interest for using response surface method in a real si...
Nearly all real life systems have multiple quality characteristics where individual modeling and opt...
Ensuring quality of a product is rarely based on observations of a single quality characteristic. Ge...
WOS: 000234321500003Designing high-quality products and processes at low cost is an economic and tec...
A problem facing the product development community is developing simultaneous solutions of response ...
There are many real problems in which multiple responses should be optimized simultaneously by setti...
A shortfall of the Derringer and Suich (1980) desirability function is lack of inferential methods t...
The purpose of real-life problems is often to be able to find less expensive and more effective ways...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
As will be shown the current use of Desirability Indices for optimisation purposes in experimental d...
This thesis provides some extensions to the existing method of determining the optimization conditio...
Harrington’s desirability function approach is usually used to overcome the problem of optimization ...
A desirability function approach has been widely used in multi-response optimization due to its simp...
In today’s world, quality has been the key issue to the success of many multinational organizations....
A review about the application of response surface methodology (RSM) when several responses have to ...
Quality engineering practitioners have great interest for using response surface method in a real si...
Nearly all real life systems have multiple quality characteristics where individual modeling and opt...
Ensuring quality of a product is rarely based on observations of a single quality characteristic. Ge...
WOS: 000234321500003Designing high-quality products and processes at low cost is an economic and tec...
A problem facing the product development community is developing simultaneous solutions of response ...
There are many real problems in which multiple responses should be optimized simultaneously by setti...
A shortfall of the Derringer and Suich (1980) desirability function is lack of inferential methods t...
The purpose of real-life problems is often to be able to find less expensive and more effective ways...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
As will be shown the current use of Desirability Indices for optimisation purposes in experimental d...
This thesis provides some extensions to the existing method of determining the optimization conditio...