Harrington’s desirability function approach is usually used to overcome the problem of optimization of multiple responses simultaneously. However, this method will give a huge impact in the presence of outliers. After that, in this case, it is not reliable to use Harrington’s desirability function method to find the optimum responses because it is not resistant to outliers. Thereupon, Modified Geometric Mean (MGM) approach is proposed as an alternative to estimate the parameter as 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 with Harrington’s desira...
A shortfall of the Derringer and Suich (1980) desirability function is lack of inferential methods t...
Abstract The development of an approximation model for the true response surface is needed in Respon...
Nearly all real life systems have multiple quality characteristics where individual modeling and opt...
Harrington’s desirability function approach is frequently used to overcome the problem of optimizati...
A desirability function approach has been widely used in multi-response optimization due to its simp...
There are many real problems in which multiple responses should be optimized simultaneously by setti...
Simultaneous optimization of multiple-quality characteristics and determining the process settings i...
In today’s world, quality has been the key issue to the success of many multinational organizations....
Quality engineering practitioners have great interest for using response surface method in a real si...
To solve multiple response optimization problems that often involve incommensurate and conflicting r...
WOS: 000234321500003Designing high-quality products and processes at low cost is an economic and tec...
This thesis provides some extensions to the existing method of determining the optimization conditio...
Ensuring quality of a product is rarely based on observations of a single quality characteristic. Ge...
Abstract. Desirability functions (DF)s play an increasing role for solving the optimization of proce...
The dual response surface methodology is a widely used technique in industrial engineering for simul...
A shortfall of the Derringer and Suich (1980) desirability function is lack of inferential methods t...
Abstract The development of an approximation model for the true response surface is needed in Respon...
Nearly all real life systems have multiple quality characteristics where individual modeling and opt...
Harrington’s desirability function approach is frequently used to overcome the problem of optimizati...
A desirability function approach has been widely used in multi-response optimization due to its simp...
There are many real problems in which multiple responses should be optimized simultaneously by setti...
Simultaneous optimization of multiple-quality characteristics and determining the process settings i...
In today’s world, quality has been the key issue to the success of many multinational organizations....
Quality engineering practitioners have great interest for using response surface method in a real si...
To solve multiple response optimization problems that often involve incommensurate and conflicting r...
WOS: 000234321500003Designing high-quality products and processes at low cost is an economic and tec...
This thesis provides some extensions to the existing method of determining the optimization conditio...
Ensuring quality of a product is rarely based on observations of a single quality characteristic. Ge...
Abstract. Desirability functions (DF)s play an increasing role for solving the optimization of proce...
The dual response surface methodology is a widely used technique in industrial engineering for simul...
A shortfall of the Derringer and Suich (1980) desirability function is lack of inferential methods t...
Abstract The development of an approximation model for the true response surface is needed in Respon...
Nearly all real life systems have multiple quality characteristics where individual modeling and opt...