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Modelling and simulation of production flow in job-shop production system with enterprise dynamics software

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents capabilities of Enterprise Dynamics software in modelling and simulation of production process in job-shop conditions. The modelled production process was conducted on the total of 8 machine tools representing 5 different types. The conducted simulation represented production of three types of parts in an alternating sequence of jobs according to the technological machine sequence. The production process of the developed model was controlled by means of 4D Script programming language.
Rocznik
Strony
87--97
Opis fizyczny
Bibliogr. 17 poz., fig., tab.
Twórcy
autor
  • Lublin University of Technology, Faculty of Mechanical Engineering, Institute of Technological Systems of Information, Nadbystrzycka 36, 20-618 Lublin, tel.: +48 81 538 45 35
  • Maria Curie-Skłodowska University, Faculty of Economics, Department of Management Information Systems, M. Curie-Skłodowskiej 5, 20-036 Lublin, tel.: +48 81 537 28 80
Bibliografia
  • 1. Danilczuk, W., Gola, A., & Cechowicz, R. (2014). Analiza konfiguracji linii produkcyjnych na postawie modeli symulacyjnych. In K. Bzdyra (Ed.), Informatyczne Systemy Zarządzania (25–42). Koszalin: Wyd. Politechniki Koszalińskiej.
  • 2. Demir, L., Tunali, S., & Eliiyi, D. T. (2014). The state of the art on the buffer allocation problem: a comprehensive survey. Journal of Intelligent Manufacturing, 25, 371–392. doi:10.1007/ s10845-012-0687-9
  • 3. Esmaeilian, B., Behdad, S., & Wang, B. (2016). The evolution and future of manufacturing: A review. Journal of Manufacturing Systems, 39, 79–100. doi:10.13140/RG.2.1.2720.0402
  • 4. Gola, A., & Świć, A. (2014). Economic analysis of manufacturing systems configuration in the context of their productivity. Actual Problems of Economics, 162(12), 385–394.
  • 5. Jagstam, M., & Klingstam, P. (2002). A handbook for integrating discrete event simulation as an aid in conceptual design of manufacturing systems. In E. Yucesan, C.-H. Chen, J. L. Snowdon, &J. M. Charnes (Eds.), Proceedings of the 2002 Winter Simulation Conference (2, 1940–1944). doi:10.1109/WSC.2002.1166493
  • 6. Jahangirian, M., Eldabi, T., Nasser, A., Stergioulas, L. K., & Young, T. (2010). Simulation in manu-facturing and business: a review. European Journal of Operational Research, 203(1), 1–13. doi:10.1016/j.ejor.2009.06.004
  • 7. Jithavech, I., & Krishnan, K. (2010). A simulation-based approach to the risk assessment of facility layout designs under stochastic product demands. The International Journal of Advanced Manufacturing Technology, 49, 27–40. doi:10.1007/s00170-009-2380-5
  • 8. Joseph, O. A., & Sridharan, R. (2011). Simulation modelling and analysis of routing flexibility of a flexible manufacturing systems. International Journal of Industrial and Systems Engineering, 8(1), 61–82.
  • 9. Kłos, S., & Patalas-Maliszewska, J. (2015). Throughput Analysis of Automatic Production Lines Based on Simulation Methods. Lecture Notes in Computer Science, 9375, 181–190. doi:10.1007/978-3-319-24834-9_22
  • 10. Kłos, S., Patalas-Maliszewska, J., & Trebuna, P. (2016). Improving manufacturing processes using simulation methods. Applied Computer Science, 12(4), 7–17.
  • 11. Kłos, S., & Trebuna, P. (2015). Using computer simulation method to improve throughput of production systems by buffers and workers allocation. Management and Production Engineering Review, 6(4), 60–69. doi:10.1515/mper-2015-0037
  • 12. Kłos, S., & Trebuna, P. (2017). The impact of the availability of resources, the allocation of buffers and number of workers on the effectiveness of an assembly manufacturing system. Management and Production Engineering Review, 8(3), 40–49. doi:10.1515/mper-2017-0027
  • 13. Longo, F. (2010). Emergency simulation: state of the art and future research guidelines. SCS M&S Magazine, 1(4), 2010-04.
  • 14. Negahban, A., & Smith, J. S. (2014). Simulation for manufacturing systems design and operation: literature review and analysis. Journal of Manufacturing Systems, 33(2), 241–261. doi:10.1016/j.jmsy.2013.12.007
  • 15. Stanley, D. R., & Kim, D. S. (2012). Experimental results for the allocation of buffers in closed serial production lines. International Journal of Production Economics, 137(2), 284–291. doi:10.1016/j.ijpe.2012.02.011
  • 16. Vidalis, M. I., Papadopoulos, C. T., & Heavy, C. (2005). On the workload and „phase load” allocation problems of short reliable production lines with fininte buffers. Computers and Industrial Engineering, 48(4), 825–837. doi:10.1016/j.cie.2004.12.011
  • 17. Yang, T., Zhang, D., Chen, B., & Li, S. (2008). Research on plant layout and production line running simulation in digital factory environment. Pacific-Asia Workshop on Computa-tional Intelligence and Industrial Application, 2, 588–593.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fb63d705-4638-473a-be2a-6175c5f851c6
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