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Tytuł artykułu

Production order verification in virtual manufacturing network using simulation systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Today's dynamic market places new demands on manufacturers, with regard to the continuous and rapid response to market changes and more frequent replacing older products with new ones. Producers looking for new solutions that meet the requirements related to the possibility of further production, without incurring even more manufacturing costs. The change in strategy business method gives the possibility to use the so-called Virtual Manufacturing Network (VMN), which may be the answer to these problems, production in the shortest possible time and at limited cost. This paper proposes a method to help the process of planning the production flow in Virtual Manufacturing Networks to assist solving problems related to the process of alternative routes selection in the network.
Twórcy
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
autor
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
Bibliografia
  • 1. Wadhwaa S., Mishraa M., Chan F.: Organizing a virtual manufacturing enterprise: an analytic network process based approach for enterprise flexibility. International Journal of Production Research, 2009, vol. 47/1, pp. 163-186
  • 2. Lei R., Zong S.: Collaborative Production in Networked Manufacturing. 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI 2014), Atlantis Press, 2014, pp. 357-362
  • 3. Fujii S., Kaihara T., Morita H.: A distributed virtual factory in agile manufacturing environment. International Journal of Production Research, 2000, Vol. 38/17, pp. 4113-4128
  • 4. Peng Q., Chung C., Yu C., Luan T.: A networked virtual manufacturing system for SMEs. International Journal of Computer Integrated Manufacturing, 2007, Vol. 20/1, pp. 71-79
  • 5. Liang F., Fung R. Y. K., Jiang Z., Wong T.N.: A hybrid control architecture and coordination mechanism in virtual manufacturing enterprise. International Journal of Production Research, 2008, Vol. 46/13, pp. 3641-3663
  • 6. Xinyu L., Liang G., Weidong L.: Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling, Expert Systems with Applications, 2012, 39, pp. 288-297
  • 7. Son Y.J. and Wysk R.A.: Automatic simulation model generation for simulation-based, realtime shop floor control Computers in Industry, 2001, 45(3) pp. 291–308
  • 8. Bergmann S. and Strassburger S.: Challenges for the automatic generation of simulation models for production systems Proc. of the Summer Computer Simulation Conf. SCS, 2010, pp. 545–9
  • 9. Huang Y., Seck M.D. and Verbraeck A.: From data to simulation models: component-based model generation with a data-driven approach. Proc. of the Winter Simul. Conf. 2011, pp. 3724–34
  • 10. Burn J., Marshall P., Barnett M.: E-business Strategies for Virtual Organizations. Butterworth-Heinemann, Oxford, 2002
  • 11. Olender M., Krenczyk D.: Production orders planning in virtual production networks (in Polish), Innowacje w zarządzaniu i inżynieriiprodukcji. T. 1. red. Ryszard Knosala. Opole: Oficyna Wydaw. Polskiego Towarzystwa Zarządzania Produkcją, 2016, pp. 644-656
  • 12. Krenczyk D., Olender M., Simulation aided production planning and scheduling using game theory approach, Applied Mechanics and Materials, 2015, vol. 809/810 pp.1662-7482
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-27777b78-3987-4114-bb7c-8bed828c7e6c
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