Keywords
FlexSim
Manufacturing
Optimization
Process fabrication
How to Cite
Abstract
Introduction. This study presents a comparative analysis between traditional methods and computer simulation for optimizing a manufacturing process. Methods. FlexSim was used as a simulation tool to model a desk lamp assembly line, comparing the results obtained with traditional analytical calculations. Results. The results demonstrate that simulation allows for more accurate identification of bottlenecks and efficient evaluation of multiple improvement scenarios. The simulated model showed a 23.5% reduction in cycle time and an 18.7% increase in overall system productivity. Conclusion. The findings suggest that simulation with FlexSim offers significant advantages over traditional methods in terms of accuracy, flexibility, and the ability to analyze complex scenarios.
References
Altiok, T., & Melamed, B. (2007). Simulation modeling and analysis with Arena. Academic Press.
April, J., Glover, F., Kelly, J. P., & Laguna, M. (2003). Practical introduction to simulation optimization. In Proceedings of the 2003 Winter Simulation Conference (pp. 71–78). IEEE.
Askin, R. G., & Standridge, C. R. (1993). Modeling and analysis of manufacturing systems. John Wiley & Sons.
Balci, O. (1998). Verification, validation, and testing. In J. Banks (Ed.), Handbook of simulation (pp. 335–393). John Wiley & Sons.
Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-event system simulation (5th ed.). Prentice Hall.
Buzacott, J. A., & Shanthikumar, J. G. (1993). Stochastic models of manufacturing systems. Prentice Hall.
Carson, Y., & Maria, A. (1997). Simulation optimization: Methods and applications. In Proceedings of the 1997 Winter Simulation Conference (pp. 118–126). IEEE.
Chwif, L., & Barretto, M. R. P. (2015). Simulation models as an aid for the teaching and learning of operations management topics. Production, 25(2), 278–288.
Detty, R. B., & Yingling, J. C. (2000). Quantifying benefits of conversion to lean manufacturing with discrete event simulation: A case study. International Journal of Production Research, 38(2), 429–445.
Fishman, G. S. (2001). Discrete-event simulation: Modeling, programming, and analysis. Springer.
FlexSim Software Products, Inc. (2024). FlexSim user manual. Author.
Fowler, J. W., & Rose, O. (2004). Grand challenges in modeling and simulation of complex manufacturing systems. Simulation, 80(9), 469–476.
Fu, M. C., Glover, F. W., & April, J. (2005). Simulation optimization: A review, new developments, and applications. In Proceedings of the 2005 Winter Simulation Conference (pp. 83–95). IEEE.
Groover, M. P. (2020). Automation, production systems, and computer-integrated manufacturing (5th ed.). Pearson.
Hopp, W. J., & Spearman, M. L. (2011). Factory physics (3rd ed.). Waveland Press.
Jahangirian, M., Eldabi, T., Naseer, A., Stergioulas, L. K., & oung, T. (2010). Simulation in manufacturing and business: A review. European Journal of Operational Research, 203(1), 1–13.
Kelton, W. D., Sadowski, R. P., & Zupick, N. B. (2015). Simulation with Arena (6th ed.). McGraw-Hill Education.
Kleijnen, J. P. C. (1995). Verification and validation of simulation models. European Journal of Operational Research, 82(1), 145–162.
Laguna, M., & Marklund, J. (2018). Business process modeling, simulation and design (3rd ed.). Chapman and Hall/CRC.
Law, A. M. (2015). Simulation modeling and analysis (5th ed.). McGraw-Hill.
Lödding, H. (2013). Handbook of manufacturing control: Fundamentals, description, configuration. Springer.
McDonald, T., Van Aken, E. M., & Rentes, A. F. (2002). Utilising simulation to enhance value stream mapping: A manufacturing case application. International Journal of Logistics Research and Applications, 5(2), 213–232.
Mourtzis, D., Doukas, M., & Bernidaki, D. (2014). Simulation in manufacturing: Review and challenges. Procedia CIRP, 25, 213–229.
Negahban, A., & Smith, J. S. (2014). Simulation for manufacturing system design and operation: Literature review and analysis. Journal of Manufacturing Systems, 33(2), 241–261.
Pegden, C. D., Shannon, R. E., & Sadowski, R. P. (1995). Introduction to simulation using SIMAN (2nd ed.). McGraw-Hill.
Robinson, S. (2014). Simulation: The practice of model development and use (2nd ed.). Palgrave Macmillan.
Rossetti, M. D. (2015). Simulation modeling and Arena (2nd ed.). Wiley.
Sargent, R. G. (2013). Verification and validation of simulation models. Journal of Simulation, 7(1), 12–24.
Standridge, C. R., & Marvel, J. H. (2006). Why lean needs simulation. In Proceedings of the 2006 Winter Simulation Conference (pp. 1907–1913). IEEE.
Vieira, A. A. C., Dias, L. M. S., Santos, M. Y., Pereira, G. A. B., & Oliveira, J. A. (2014). Setting an Industry 4.0 research and development agenda for simulation: A literature review. International Journal of Simulation Modelling, 17(3), 377–390.
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