Vasile-Dragoș Bartoș 1, Stelian Brad 1, Bogdan Balog 1, Alexandru Cirlejan 1, Diana Ticudean 1
1 Technical University of Cluj-Napoca, Faculty of Industrial Engineering, Robotics and Production Management B-dul Muncii, No. 103-105, 400641 Cluj-Napoca, Romania
* Corresponding author. E-mail: dragos.bartos@muri.utcluj.ro
Robotica & Management, Vol. 30, No. 1, pp. 38-43
DOI: https://doi.org/10.24193/rm.2025.1.6
Abstract: This paper presents a comparative approach to process optimization using traditional techniques and 3D simulation with Visual Components. A woodworking workshop is used as a case study. Results show significant efficiency improvements by addressing bottlenecks and testing workflow scenarios digitally.
Keywords: Production Efficiency, Process Optimization, Industry 4.0, Bottleneck Analysis, Smart Manufacturing.
References
[1] Rasool A., Satsangee G. R., Warawa M., Khan A., Shah M., Singh A., Ahmad R.: “Design and simulation of a production line for plastic recycling with additive manufacturing”, Procedia Computer Science, Vol. 253, pp. 561–570, 2025.
[2] Reisinger J., Zahlbruckner M. A., Kovacic I., Kán P., Wang-Sukalia X., Kaufmann H.: “Integrated multi-objective evolutionary optimization of production layout scenarios for parametric structural design of flexible industrial buildings”, J. Build. Eng., Vol. 46, Article 103766, 2022.
[3] Yue Y., Liu Z., Zuo X.: “Integral layout optimization of subsea production control system considering three-dimensional space constraint”, Processes, Vol. 9, No. 11, Article 1947, 2021.
[4] Gao G., Feng Y., Zhang Z., Wang S., Yang Z.: “Integrating SLP with simulation to design and evaluate facility layout for industrial head lettuce production”, Ann. Oper. Res., Vol. 321, pp. 209–240, 2023.
[5] Martinez A., Gomez R.: “Improving profitability of a color production line by breaking down bottlenecks: A computer simulation approach”, arXiv preprint, arXiv:2304.02185, 2023.
[6] Gunal M. M., Karatas M.: “Industry 4.0, Digitisation in Manufacturing, and Simulation: A Review of the Literature”, in Simulation for Industry 4.0, Springer, pp. 7–35, 2019.
[7] Xu L., Xu B., Su J.: “Facilities layout design optimization of production workshop based on the improved PSO algorithm”, IEEE Access, Vol. 12, pp. 112025–112040, 2024.
[8] Johansen K., Grahn S.: “Digital tools for supporting production preparation: Reflections related to designing human robot collaboration layouts”, in Moser B. R. et al. (Eds.), Transdisciplinarity and the Future of Engineering, IOS Press, pp. 301–310, 2022.
[9] Lee J., Bagheri B., Kao H.-A.: “Simulation optimization applied to production scheduling in the era of Industry 4.0”, Procedia Manufacturing, Vol. 42, pp. 315–321, 2020.
[10] Zhang L., Rossi A., Sabra F.: “Optimization of facility layout planning problems in manufacturing: A simulation-based approach in an Industry 4.0 environment”, Master’s Thesis, Politecnico di Milano, 2022.
[11] Lu S., Yue H.: “Real-time data driven visual simulation of process manufacturing: A case study”, Proc. Chinese Control and Decision Conf. (CCDC), IEEE, pp. 3611–3615, 2011.
