MODELLING AND SIMULATION OF PRODUCTION FLOW IN JOB-SHOP PRODUCTION SYSTEM WITH ENTERPRISE DYNAMICS SOFTWARE

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.
  Google Scholar

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. https://doi.org/10.1007/s10845-012-0687-9
DOI: https://doi.org/10.1007/s10845-012-0687-9   Google Scholar

Esmaeilian, B., Behdad, S., & Wang, B. (2016). The evolution and future of manufacturing: A review. Journal of Manufacturing Systems, 39, 79–100. https://doi.org/10.13140/RG.2.1.2720.0402
DOI: https://doi.org/10.1016/j.jmsy.2016.03.001   Google Scholar

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.
  Google Scholar

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). https://doi.org/10.1109/WSC.2002.1166493
DOI: https://doi.org/10.1109/WSC.2002.1166493   Google Scholar

Jahangirian, M., Eldabi, T., Nasser, A., Stergioulas, L. K., & Young, T. (2010). Simulation in manufacturing and business: a review. European Journal of Operational Research, 203(1), 1–13. https://doi.org/10.1016/j.ejor.2009.06.004
DOI: https://doi.org/10.1016/j.ejor.2009.06.004   Google Scholar

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. https://doi.org/10.1007/s00170-009-2380-5
DOI: https://doi.org/10.1007/s00170-009-2380-5   Google Scholar

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.
DOI: https://doi.org/10.1504/IJISE.2011.040766   Google Scholar

Kłos, S., & Patalas-Maliszewska, J. (2015). Throughput Analysis of Automatic Production Lines Based on Simulation Methods. Lecture Notes in Computer Science, 9375, 181–190. https://doi.org/10.1007/978-3-319-24834-9_22
DOI: https://doi.org/10.1007/978-3-319-24834-9_22   Google Scholar

Kłos, S., Patalas-Maliszewska, J., & Trebuna, P. (2016). Improving manufacturing processes using simulation methods. Applied Computer Science, 12(4), 7–17.
  Google Scholar

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
DOI: https://doi.org/10.1515/mper-2015-0037   Google Scholar

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. https://doi.org/10.1515/mper2017-0027
DOI: https://doi.org/10.1515/mper-2017-0027   Google Scholar

Longo, F. (2010). Emergency simulation: state of the art and future research guidelines. SCS M&S Magazine, 1(4), 2010-04.
  Google Scholar

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. https://doi.org/10.1016/j.jmsy.2013.12.007
DOI: https://doi.org/10.1016/j.jmsy.2013.12.007   Google Scholar

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. https://doi.org/10.1016/j.ijpe.2012.02.011
DOI: https://doi.org/10.1016/j.ijpe.2012.02.011   Google Scholar

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. https://doi.org/10.1016/j.cie.2004.12.011
DOI: https://doi.org/10.1016/j.cie.2004.12.011   Google Scholar

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 Computational Intelligence and Industrial Application, 2, 588–593.
DOI: https://doi.org/10.1109/PACIIA.2008.159   Google Scholar