Using autonomic computing and click stream analysis for problem identification in continuous production

Authors:
Wallace A. Pinheiro;Jonice Oliveira;Jano M. de Souza;Geraldo Xexéo;Marcelo Perazolo
Affiliations:
Computer Science Department, Graduate School of Engineering, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;Computer Science Department, Graduate School of Engineering, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;Computer Science Department, Graduate School of Engineering, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;Computer Science Department, Graduate School of Engineering, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil;IBM Corporation – RTP, NC
Venue:
CDVE'06 Proceedings of the Third international conference on Cooperative Design, Visualization, and Engineering
Year:
2006

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Abstract

Problem identification is an area of research from Autonomic Computing. The problem identification can bring several benefits in a production line, especially in continuous production of the Information Technology Industry. This work presents an approach based on Symptom Ontologies to facilitate problem identification and solution prediction, and use of clickstream analysis for recommendation of material, when the solution is not appropriated.