Modelling and Optimization of Profile Response Experiments using Generalized Linear Models

Document Type: Research Paper


1 Industrial engineering department, Iran University of Science and Technology, Tehran, Iran

2 Industrial engineering department, Iran University of Science and Technology, Tehran,Iran.


Design of experiments is an important means to improve the product or process quality. The overall objective in a designed experiment is to find the optimal value of observed output through manipulation of input factors. In most industrial experiments, a continuous response variable is observed in the data space. The correlation structure of output profile may leads to misleading estimates of regression coefficients. In this paper, a qualitative method is suggested to modelling and optimization of profile response experiments. Firstly, as a longitudinal study in profile response experiment, a generalized linear model is used to modelling the profile response. In the second step, the optimal setting of input factors that leads to simultaneously target values of responses is determined using desirability function. Results based on a standard set of data indicate improvement in the method of analyzing profile response experiments.


Main Subjects

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