Artificial intelligence toolsin simulation and optimization of production systems

• Autorzy: Škorík P. , Gregor M. , Štefanik A
• Języki publikacji: EN

Abstrakty

EN

This article deals with solution developed as a cooperation of Industrial engineering department, University of Žilina and Central European Institute of Technology (CEIT SK). Proposed solution involves simulation with support of virtual reality for searching of engineer-accepted manufacturing system state (so called "optimal"). Article includes basic information about evolution methods and genetic algorithms. Authors own algorithm, which is based on use of genetic algorithm, is used for optimization. Outcomes compares the speed of convergence of chosen Witness optimization algorithms and authors-developed algorithm. Comparison is presented on project from industrial praxis.

Słowa kluczowe

EN

simulation of production systems; optimalization; genetic algorithms

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2009
• Tom: Vol. 5, no 2
• Strony: 42--57
• Opis fizyczny: Bibliogr. 10 poz., fig., tab.

Twórcy

autor

Škorík P.

• University of Žilina, SjF, KPI

autor

Gregor M.

• University of Žilina, SjF, KPI

autor

Štefanik A

• CEIT SK

Bibliografia

• [1] BANKS, J. – CARSON, J.S. – NELSON, B.L. – NICOL, D.M. : Discrete Event Systems Simulation. 3rd edition. Englewood Cliffs, 2000.
• [2] FU, C., M.: Optimization for Simulation: Theory vs. Practice In: INFORMS Vol. 14, No. 3, Summer 2002 pp. 192–215.
• [3] FURMANN, R.: Modern methods of industrial engineering. In: 12th. National productivity conference – conference handbook, Slovak productivity center, Žilina 2009, s.60-66, ISBN 978-80-89333-14-1.
• [4] FURMANN, R. – KRAJČOVIČ, M.: Interactive 3D Design of Production Systems. In: Digital Factors 2009 – Workshop Handbook, SLCP, Žilina, 2009, s. 28, ISBN 978-80-89333-08-0.
• [5] CHUNG, Ch. A.: Simulation Modeling Handbook. A Practical Approach. New York, CRC Press, 2004, ISBN 0-8493-1241-8.
• [6] LAW, A. – KELTON, D. : Simulation, modeling and analysis, MGraw-Hill, New York, 2000, ISBN 0-07-100803-9.
• [7] MITCHELL, M.: An introduction to genetic algorithms. Cambridge, MA: MIT Press, 1996.
• [8] SWISHER, J.R. – JACOBSON, S.H. – HYDEN, P.D. – SCHRUBEN, L.W.: A survey of simulation optimization techniques and procedures. In: Proceedings of the Winter Simulation Conference, Orlando, USA, 2000.
• [9] GREGOR, M. – ŠTEFÁNIK, A. – FURMANN, R. – ŠKORÍK, P.: Virtual manufacturing in research and industry. In: 9th IFAC Workshop on Intelligent Manufacturing Systems, Szczecin,2008.
• [10] ŠTEFÁNIK, A. – GREGOR, M.: Simulation of production systems with support of virtual reality, In: CO-MA-TECH 2006, Trnava 2006, ISBN: 80-227-2472-6.