Department of Robots and Manufacturing Systems, Faculty of Industrial Engineering and Robotics, University Politehnica of Bucharest,
060042 Bucharest, Romania
Email: scarlat.andrei.upb@gmail.com (S.A.D.); laur.popa79@gmail.com (P.C.L.); radu.parpala@gmail.com (P.R.C.);
florinachiscop@gmail.com (C.F.); costelemilcotet@gmail.com (C.C.E.)
*Corresponding author
Manuscript received May 29, 2025; accepted August 5, 2025; published September 1, 2025.
Abstract—With the advancement of technology and industry, customer demands have become increasingly complex, making it more challenging to anticipate and meet their needs. In this context, Industry 4.0 has introduced essential tools that facilitate the simulation of various scenarios, enabling manufacturers to anticipate customer needs without relying on highly advanced or expensive technologies. In response to this need, the concept of the Digital Twin (DT) has emerged, aiming to create a simulation that closely mirrors real-world scenarios. Its primary function is to accurately replicate, based on a set of real-life data, a piece of equipment or an industrial process without requiring physical acquisition. In this study, DT software was utilized to simulate the manufacturing process of coils for a generator rotor, in order to detect production bottlenecks, and recommend optimal solutions to improve efficiency. The main objective is to develop a scenario that accurately reflects the current state of the production line, identify critical points, and subsequently redesign the workflow to eliminate inefficiencies and improve overall productivity.
Keywords—digital twin, simulation, optimization, industry 4.0, production efficiency, bottlenecks identification
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Cite: Scarlat Andrei Daniel, Popa Cicerone Laurentiu, Parpala Radu Constantin, Chiscop Florina, and Cotet Costel Emil, "Optimization of the Production Process through Digital Twin Simulation," International Journal of Modeling and Optimization, vol. 15, no. 2, pp. 54-59, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
