ROBUST DESIGN IN GENERALISED LINEAR MODELS FOR IMPROVING THE QUALITY OF POLYURETHANE SOLES

Authors

DOI:

https://doi.org/10.7166/26-3-1181

Keywords:

Optimization, Quality Engineering, Robust Parameter Design, Discrete Binary Response, Logistic Regression, Control Systems, Polyurethane Processes

Abstract

In a process that manufactures polyurethane soles by casting, a number of problems lead to different types of defects on the sole, causing significant economic losses for the company. In order to improve the product quality and decrease the number of defects, this study conducts an experimental design in the context of robust design. Since the response variable is binary, the statistical analysis was performed using generalised linear models. The operational methodology reduced the percentage of defects, while combining the experimental technique and control systems to achieve superior quality and a consequent reduction in costs.

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Author Biography

Armando Mares Castro, Institute of Industrial Engineers

Armando Mares Castro received his master’s degree in Science and Technology in Industrial and Manufacturing Engineering in the Center of Innovation Applied in Competitive Technologies in León, Guanajuato. Mexico in 2011. He is currently Associate Professor of Industrial Engineering at the Technological University of León. His main research interests include Quality Engineering, Robust Parameter Design and Design of Experiments. Which constitute their Research topic for obtaining PhD.

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Published

2015-11-30

How to Cite

Mares Castro, A., & Dominguez, J. (2015). ROBUST DESIGN IN GENERALISED LINEAR MODELS FOR IMPROVING THE QUALITY OF POLYURETHANE SOLES. The South African Journal of Industrial Engineering, 26(3), 152–166. https://doi.org/10.7166/26-3-1181

Issue

Vol. 26 No. 3 (2015)

Section

General Articles

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