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Abstract

Quality profiling seeks to know the quality characteristics of products and processes to improve customer satisfaction and business competitiveness. It is required to develop new techniques and tools that upgrade and complement the traditional analysis of process variables. This article proposes a new methodology to model quality control of the process and product quality characteristics by applying optimization and simulation tools. The application in the production process of carbonated beverages allowed us to identify the most influential variables on the gas content and the degrees Brix of beverage.
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Authors and Affiliations

Jean P. Morán-Zabala
1
Juan M. Cogollo-Flórez
1

  1. Department of Quality and Production, Instituto Tecnológico Metropolitano – ITM, Colombia
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Abstract

Abstract Meeting quality characteristics of products and processes is an important issue for customer satisfaction and business competitiveness. It is necessary to integrate new techniques and tools that improve and complement traditional process variables analysis. This paper proposes a new methodological approach to analyze process quality control variables using Fuzzy Cognitive Maps. Application of the methodology in the production process of carbonated beverages allowed identifying process variables with the greatest influence on finished product quality. The process variables with the greatest impact on carbon dioxide content in the beverage were the beverage temperature in the filler, the carbo-cooler pressure, and the filler pressure.
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Authors and Affiliations

Juan Cogollo-Florez
1
ORCID: ORCID
Orfani Valencia-Mena
1
ORCID: ORCID

  1. Department of Quality and Production, Instituto Tecnológico Metropolitano – ITM, Colombia

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