A Study of the Optimization Method for Count-Type Functional Responses Based on the Infinity-Norm Distance

doi:10.3969/j.issn.1007-7375.2021.06.005

Abstract

Abstract: Count-type functional responses widely exist in manufacturing processes. However, most existing researches are focused on the optimization of continuous functional responses. An optimization method is proposed for count-type functional responses by combining the infinity-norm distance index for the vectors of the fitted values with the desirability function method. The simulation results show that the proposed infinity-norm distance index for fitted value vectors reflects the true distance more accurately and less variably. This method is applied to the analysis of the bonding process for flexible printed circuits and glass substrates in a TFT-LCD module manufacturing company. The unqualified rate of products is effectively reduced.

Key words: count-type functional data, response optimization, infinity-norm distance, desirability function, generalized linear model

CLC Number:

F273.2

WANG Xianpeng, HE Zhen. A Study of the Optimization Method for Count-Type Functional Responses Based on the Infinity-Norm Distance[J]. Industrial Engineering Journal, 2021, 24(6): 34-40.

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