Methodology for the simultaneous solution of ordinary differential equations (ODEs) and associated parametric sensitivity equations using the Decoupled Direct Method (DDM) is presented with respect to its applicability to multiresponse parameter estimation for systems described by nonlinear ordinary differential equations. The DDM is extended to provide second order sensitivity coefficients and...

This research is a follow-up study from previous related to the optimization of engravingprocess with same object, mahogany wood processed G-Weike WK1212 CNC Router machineand3mmConicalbitusingTaguchimethod.Inthisresearch,theoptimizationmethodused FullFactorial Design multiresponse plots optimization, where use this method also refers theresults ofprevious studies but its implementation applied...

Desirability functions (DF)s play an increasing role for solving the optimization of process or product quality problems having various quality characteristics to obtain a good compromise between these characteristics. There are many alternative formulations to these functions and solution strategies suggested for handling their weaknesses and improving their strength. Although the DFs of Derri...

response surface methodology is a common tool in optimizing processes. it mainly concerns situations when there is only one response of interest. however, many designed experiments often involve simultaneous optimization of several quality characteristics. this is called a multiresponse surface optimization problem. a common approach in dealing with these problems is to apply desirability funct...

Response surface methodology is a common tool in optimizing processes. It mainly concerns situations when there is only one response of interest. However, many designed experiments often involve simultaneous optimization of several quality characteristics. This is called a Multiresponse Surface Optimization problem. A common approach in dealing with these problems is to apply desirability funct...

Title of Dissertation: Single and Multiresponse Adaptive Design of Experiments with Application to Design Optimization of Novel Heat Exchangers Vikrant Chandramohan Aute Doctor of Philosophy, 2009 Directed By: Shapour Azarm, Professor Department of Mechanical Engineering Engineering design optimization often involves complex computer simulations. Optimization with such simulation models can be ...

The simulation model is a proven tool in solving nonlinear and stochastic problems and allows examination of the likely behavior of a proposed manufacturing system under selected conditions. However, it does not provide a method for optimization. A practical problem often embodies many characteristics of a multiresponse optimization problem. The present paper proposes to solve the multiresponse...