Fuzzy logic in rationalization of production systems on the basis of simulation project

• Autorzy: Kukla S.
• Języki publikacji: EN

Abstrakty

EN

The present paper presents a systemic approach to foundry management. Thanks to production process modelling and simulation techniques, an attempt was made to synthesise many interconnected devices and numerous manufacturing stages into one production system. The sheets of multi-criterion evaluation were prepared, where criteria and variants were assessed by means of subjective point evaluation and fuzzy character evaluation. The paper presents an analysis example of finishing activities of castings realized in foundry and in cooperation.

Słowa kluczowe

EN

modelling and simulation; multicriterion evaluation of variants; fuzzy logic

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2010
• Tom: Vol. 6, no 1
• Strony: 91--98
• Opis fizyczny: Bibliogr. 10 poz., fig.

Twórcy

autor

Kukla S.

• Department of Industrial Engineering, University of Bielsko-Biała, ul. Willowa 2

Bibliografia

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• [2] HERNANDEZ-MATIAS J. C., VIZAN A., HIDALGO A., RIOS J.: Evaluation of techniques for manufacturing process analysis, International Journal of Advanced Manufacturing Technology Vol. 17, No. 5 (2006) s. 571 – 583.
• [3] KUKLA S.: Evaluation and Verification of Time and Costs of Production Activities in Foundry Industry, Archives of Foundry Engineering vol. 7, Issue 3 (2007) s. 79-82.
• [4] KUKLA S.: Rationalization of foundry processes on the basis of simulation experiment, Archives of Foundry Engineering vol. 8, Issue 3 (2008) s. 65-68.
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• [7] MATUSZEK J., KUKLA S.: Analysis of foundry production systems on the basis of modelling and simulation, Acta Mechanica Slovaca, vol. 13, No.2 (2009) 106-111.
• [8] MONTGOMERY D.: Design and analysis of experiments. Wiley, New York 1997.
• [9] SAATY T.: The Analytic hierarchy processes. McGraw – Hill, New York 1980.
• [10] ZADEH L., KACPRZYK J.: Fuzzy logic for the management of uncertainty, John Wiley & Sons, New York 1992.