Procesamiento de imágenes industriales: una aplicación al control del tostado del maní

Autores

  • Juan José Palma Universidad Tecnológica Nacional, Regional Córdoba
  • Silvia María Ojeda Universidad Tecnológica Nacional, Regional Córdoba
  • Mario Roberto Modesti Universidad Tecnológica Nacional, Regional Córdoba

Palavras-chave:

Maní a Granel, Regresión Logística, Procesamiento de Imágenes, Redes de Computadoras, Horno de Tostado de Maní.

Resumo

Este trabajo se enmarca en el ámbito del control automático aplicado al sector agroindustrial. Responde a la creciente incorporación de tecnología en el sector primario por parte de algunas empresas dedicadas a la elaboración de derivados de la pasta de maní, en su búsqueda de un aumento en la productividad y calidad de sus productos. Concretamente, se presenta una metodología automática y en línea, para distinguir distintos niveles de tostado de maní pelado sin piel a granel e introducir, en caso de fallas, correcciones en el proceso de tostado. El método propuesto utiliza la información proporcionada por sensores ópticos instalados a la salida del horno de tostado y está basado en el modelo de regresión logística.   10.13084/2175-8018.v03n06a08

Referências

ADAMIDES, Emmanuel D.; POMONISA, N. The co-evolution of product, production and supply chain decisions, and the emergence of manufacturing strategy. International Journal of Production Economics, v. 121, n. 2, p. 301-312, 2009.

ADIDA, E.; DEMIGUEL V. Supply chain competition with multiple manufacturers and retailers. Forthcoming in Operations Research, 2010. Available in: <http://faculty.london.edu/avmiguel/papers.html>.

BRANS, Jean-Pierre; MARESCHAL, Bertrand. How to Decide with PROMETHEE. (GAIA Software) ULB and VUB Brussels Universities. Vrije Universiteit Brussel. 1986. Available in: <http://homepages.ulb.ac.be/~bmaresc/PromWeb.htm>.

DUNOD, E. Gestion Industrielle. Paris, France, 1997.

GODET, Michel. Integration of scenarios and strategic management: using relevant, consistent and likely scenarios. Futures, v. 22, n. 7, September, p. 730-739, 1990.

HAYES, R. H.; WHEELWRIGHT, S. C. Restoring our competitive edge: competing through manufacturing, Wiley, New York, 1984.

HOPP, Wallace; SPEARMAN, Mark. Factory Physics. 2nd Ed., 2008.

KAPLAN, R. S.; NORTON, D. P. 1996. Using the balanced scorecard as a strategic management system. Harvard business review, v. 74, n. 1, p. 75-85, 1996.

MILLER J. C.; ROTH A. V. A taxonomy of manufacturing strategies. Management Science, v. 40, n. 3, p 285-304, 1994.

MILTENBURG, John - Manufacturing Strategy. 2nd edition, 2005.

MOREL, Nemery; CAMARGO, M.A metrics-based diagnosis tool for enhancing innovation capabilities in SMEs. Conference for the Workshop on Multicriteria decision analysis for enhancing innovation capabilities in SMEs, ERPI laboratory, 2-3 fevrier, Nancy France, 2009.

RHO, Boo-Ho; PARK, Kwangtae; YU, Yung-Mok. An international comparison of the election of manufacturing strategy implementation gap on business performance. International Journal of Production Economics, v. 70, p. 89-97, 2001.

ROSS, Quinlan C 4.5 algorithm. Handbook of data mining and knowledge discovery. En , ed. KLÖSGEN, Willi, ZYTKOW, Jan M., New York, NY, USA: Oxford University Press, Inc. p. 267-276, 2002. Available in: http://dl.acm.org/citation.cfm?id=778212.778254. And. Available in: http://en.wikipedia.org/wiki/Ross_Quinlan#C4.5

SIMUL 8. Software, a simulation workbench to discrete event process. Available in: K Concannon, Visual8 Corp, 2003.

SKINER, Wickham. Manufacturing, the missing link in corporate from Production and operations management (Spanish version) - Ed. Wiley, 1969. 38p.

SKINNER, W. Manufacturing in the corporate strategy. Wiley, Reviwed Edition, New York, 1998.

SWAMIDASS, P.; NEWELL, W. Manufacturing strategy, environmental uncertainty, and performance: a path analytic model. Management Science, v. 33 (1987) p. 509-524, 1997.

THUN, Jörn-Henrik. Empirical analysis of manufacturing strategy implementation. International Journal of Production Economics, v. 113, n. 1, p. 370-382, 2008.

WAIKATO. University Weka Machine Learning Framework. HALL, Mark; FRANK Eibe, HOLMES, Geoffrey; PFAHRINGER Bernhard; REUTEMANN, Peter; WITTEN, Ian H. 2009. The WEKA data mining software: an update. SIGKDD Explor. Newsl. v. 11, n. 1 (noviembre): p. 10-18. doi:10.1145/1656274.1656278. Available in: <http://www.cs.waikato.ac.nz/ml/weka >.

WITTEN I. H.; FRANK, E. Data mining: practical machine learning tools and techniques (Second Edition), 2011.

Downloads

Publicado

2012-05-19

Edição

Seção

Artigos