Econometric model for planning the industrial production

• Autorzy: Dima I. C. , Grabara J. , Kolcun M.
• Języki publikacji: EN

Abstrakty

EN

In industrial practice, there are frequent cases when a performer randomly serves the machines at time intervals, which prevents the elements of carrying out the processing procedure from being predetermined. Situations of random interventions on the multiserved machines occur more often in textile industry on the spinning machines, looms, knitting machines, wire weaving and interlacing machines, etc.

Słowa kluczowe

EN

discipline of waiting; average waiting time of the machines in the system; average number of machines

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2013
• Tom: Vol. 12, nr 1
• Strony: 11--20
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Dima I. C.

• University “Valahia of Targoviste”, Romania

autor

Grabara J.

• Czestochowa University of Technology, Poland

autor

Kolcun M.

• Technical University of Kosice, Slovakia

Bibliografia

• [1] Askin R., Standridge C., Modeling and analysis of manufacturing systems, John Wiley & Sons, Inc., New York, NY 1993.
• [2] Chase R.B., Aquilano N.J., Jacobs F.R., Operations management for competitive advantage (10th ed.), McGraw-Hill, Boston, MA 2004.
• [3] Dima I.C., Using multiservice of industrial management, WWZPCz, Czestochowa 2010.
• [4] Dima I.C., Marcincin I.N., Grabara J., Pachura P., Kot S., Man M., Operational management systems of the production achieved in flexible manufacturing cells, Technical University of Kosice, Presov 2011.
• [5] Dima I.C., Grabara I., Pachura P., Kot S., Modrak V., Marcincin I.N., Man M., Multiserving - operational management system of the production achieved in flexible manufacturing cells, WWZPCz, Czestochowa 2011.
• [6] Gen M., Cheng R., Genetic algorithms and engineering design, Wiley, New York 1997.
• [7] Goldberg D.E., Genetic algorithms in search, optimization, and machine learning, Addison-Wesley Reading, MA 1989.
• [8] Lee Y.D., Lee T.E., Stochastic cyclic flow lines with blocking: Markovian models. OR-Spektrum 2005, 27(4), 551-568.
• [9] Li S.Z., Markov random field modeling in computer vision, Springer-Verlag 1995.
• [10] Modrak V., Pandian R.S., Operations Management Research and Cellular Manufacturing Systems, IGI Global, Hersey 2011.
• [11] Santana R., A Markov network based factorized distribution algorithm for optimization, Proceeding of the 14th European Conference on Machine Learning, Berlin 2003.
• [12] Slack N., Chambers S., Johnston R., Operations management, Financial Times/Prentice Hall, Harlow, MA 2001.
• [13] Ślusarczyk B., Industrial Policy Development Towards Sustainability, [in:] The Role of Business in Achieving Sustainability. Part 2: Implication for Industry, Modrak V., Ślusarczyk B. (eds.),Technical University Kosice, Presov 2010.