Robust design in generelaised linear models for improving the quality of polyurethane soles

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 desi...

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Main Authors: Castro, Armando Mares, Dominguez, Jorge
Format: Article
Language:English
Published: Stellenbosch University 2015-11-01
Series:South African Journal of Industrial Engineering
Subjects:
Online Access:http://sajie.journals.ac.za/pub/article/view/1181
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author Castro, Armando Mares
Dominguez, Jorge
author_facet Castro, Armando Mares
Dominguez, Jorge
author_sort Castro, Armando Mares
collection DOAJ
description 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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spelling doaj.art-0addedfe470d47a2bb7ad92d4a7f8f272022-12-22T03:43:17ZengStellenbosch UniversitySouth African Journal of Industrial Engineering1012-277X2224-78902015-11-0126315216610.7166/26-3-1181Robust design in generelaised linear models for improving the quality of polyurethane solesCastro, Armando Mares0Dominguez, Jorge1CIATECCIMATIn 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.http://sajie.journals.ac.za/pub/article/view/1181optimizationRobust Parameter DesignDiscrete Binary ResponseLogistic Regressioncontrol systemsPolyurethane Processes
spellingShingle Castro, Armando Mares
Dominguez, Jorge
Robust design in generelaised linear models for improving the quality of polyurethane soles
South African Journal of Industrial Engineering
optimization
Robust Parameter Design
Discrete Binary Response
Logistic Regression
control systems
Polyurethane Processes
title Robust design in generelaised linear models for improving the quality of polyurethane soles
title_full Robust design in generelaised linear models for improving the quality of polyurethane soles
title_fullStr Robust design in generelaised linear models for improving the quality of polyurethane soles
title_full_unstemmed Robust design in generelaised linear models for improving the quality of polyurethane soles
title_short Robust design in generelaised linear models for improving the quality of polyurethane soles
title_sort robust design in generelaised linear models for improving the quality of polyurethane soles
topic optimization
Robust Parameter Design
Discrete Binary Response
Logistic Regression
control systems
Polyurethane Processes
url http://sajie.journals.ac.za/pub/article/view/1181
work_keys_str_mv AT castroarmandomares robustdesigningenerelaisedlinearmodelsforimprovingthequalityofpolyurethanesoles
AT dominguezjorge robustdesigningenerelaisedlinearmodelsforimprovingthequalityofpolyurethanesoles