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Simulation and Optimization of Saw Blade Production in Plant Simulation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper is oriented on very important topics, which nowadays simulation and optimization surely are. First part of this paper is oriented on simulation software Plant Simulation, because this software is one of the best software on the market. Second section deals in detail with the procedure of saw blades production. Third section presents creation of simulation model for selected production process, which is production of saw blades. Final fourth section is about proposals for improvement of saw blade production.
Twórcy
autor
  • Faculty of Mechanical Engineering, Technical University of Kosice, Letná 9, 042 00, Košice, Slovak Republic
  • Faculty of Commerce, University of Economics in Bratislava, Dolnozemská cesta 1, 852 35, Bratislava, Slovak Republic
  • Faculty of Mechanical Engineering, Technical University of Kosice, Letná 9, 042 00, Košice, Slovak Republic
  • Faculty of Commerce, University of Economics in Bratislava, Dolnozemská cesta 1, 852 35, Bratislava, Slovak Republic
Bibliografia
  • 1. Chung C.A. Simulation modeling handbook: a practical approach. Boca Raton, CRC Press; 2004.
  • 2. Smith J.S. Survey on the use of simulation for manufacturing system design and operation. Journal of Manufacturing Systems. 2019; 22(2): 157–171.
  • 3. Seminsky J. Present trends in designing of technical systems. Applied Mechanics and Materials. 2014; 460: 73–80.
  • 4. Daneshjo N., Rudy V., Drábik P., Malega P. Methods and Procedures Applied to Design of Production Processes and Systems. TEM Journal. 2020; 9(4): 1435–1442.
  • 5. Ferreira L.P., Gómez E.A., Peláez G.C.l., Quintas J.D., Tjahjono B. Analysis and Optimisation of a Network of Closed-loop Automobile Assembly Line using Simulation. The International Journal of Advanced Manufacturing Technology. 2012; 59(1): 351–366.
  • 6. Mihalíková J., Rovňaková S., Liška, O., Živčak, J. Design of the modular production system by simulation software. In: IEEE 6th International Conference on Computational Cybernetics, Stara Lesna, Slovakia. 2008, 223-226.
  • 7. Andradottir S. A Review of Simulation Optimization Techniques. In: Proceedings of the 1998 Winter Simulation Conference, Washington, USA 1998, 151–158.
  • 8. Daneshjo N., Dudaš Pajerská E., Hajduová Z., Dan Stratynski C., Danishjoo M. Use of Modern Software Systems for Design and Realization of Prototype of Three-dimensional. TEM Journal. 2019; 8(2): 346–353.
  • 9. Lin W., Kline D. E., Janice K.W. Design and evaluation of log-to-dimension manufacturing systems using system simulation. Forest Products Journal. 1995; 45(3): 37–44.
  • 10. Nimbulkar S.L., Dalu R.S. Design optimization of gating and feeding system through simulation technique for sand casting of wear plate. Perspectives in Science. 2016; 8: 39–42.
  • 11. Negahban A., Smith J.S. Simulation for manufacturing system design and operation: Literature review and analysis. Journal of Manufacturing Systems. 2014; 33: 241–261.
  • 12. Fabian M., Boslai R., Izol P., Janekova J., Fabianova J., Fedorko, Bozek P. Use of Parametric 3D Modelling - Tying Parameter Values to Spreadsheets at Designing Molds for Plastic Injection. Manufacturing technology. Journal for science, research and production. 2015; 15(1): 24–31.
  • 13. Pegden C.D. Simio: a new simulation system based on intelligent objects. In: Proceedings of the winter simulation conference, Washington, USA 2007, 2293–2300.
  • 14. Wessely E., Kraliková R., Krupa M., Beneová A. Using of computer intelligence for design of lightning systems in industry plants. In: 20th International DAAAM Symposium “Intelligent Manufacturing and Automation: Focus on Theory, Practice and Education”, Vienna, Austria 2009, 87–88.
  • 15. Bangsow S. Manufacturing Simulation with plant simulation and SimTalk. Usage and programming with examples and solutions. Springer; 2010.
  • 16. Curry G.L., Feldman R.M. Manufacturing systems modelling and analysis. Springer Heidelberg Dordrecht London New York; 2011.
  • 17. Womack J.P., Jones D.T., Roos D. The Machine That Changed the World. Harper Perennial; 1990.
  • 18. Rahani A.R., Muhammad A.A. Production flow analysis through value stream mapping: A lean manufacturing process case study. Procedia Engineering. 2012; 41: 1727–1734.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a8a3ce6d-0e80-4113-865d-04323acebf43
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