ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study

World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational technologies. Data driven analysis of complex processes is necessary in many industrial applications where analytical modeling is not possible. This paper presents the deployment of KDD technology in one real industrial problem: the development of new tinplate quality diagnostic models. The electrodeposition of tin on steel strips is the most critical stage of a complex process that involves a great amount of variables and operating conditions. Its optimization is not only a great commercial and economic challenge but also a compulsion due to the social impact of the tinplate product -more than 90% of the production is used for food packaging. The necessary certification with standards, like ISO 9000, requires the use of diagnostic models to minimize the costs and the environmental impact. This aim has been...

• Type: Conference
• Year: 2004
• Where: KDD
• Authors: Nicolás de Abajo, Alberto B. Diez, Vanesa Lobato, Sergio R. Cuesta
• Keywords: Data Mining, Diagnostic Models, KDD 2004, Quality Diagnostic Models, Tinplate Quality