Achieving a Target Value for a Manufacturing Process: A Case Study

Abstract

A paint coating process for which there is little information known about the relationship between the production variables and the output variables was investigated. The goal was to determine the optimum process settings to achieve the target value for the response, coating thickness. Three planned experiments of eight runs each were carried out, the first with four replicates and the other two with two replicates. The observed data were analyzed using a multiple linear regression. Four input factors appeared to be significant and were used to set the production levels in such a way that the desired coating thickness was achieved.

• Design of Experiments
• Prediction
• Response Surface Methodology
• Sequential Experimentation

Additional information

Notes on contributors

Siegfried Eibl

Mr. Eibl and Ms. Keβ were graduate students at the time of this research.

Ulrike Kess

Mr. Eibl and Ms. Keβ were graduate students at the time of this research.

Friedrich Pukelsheim

Dr. Pukelsheim is a Professor and Chair of Stochastics and Its Applications.