Designing a Digital Twin System for Plastic Injection Molding Machine to Improve Production Cycle Time (Case Study: Entekhab Industrial Group)
نویسندگان
1 Department of Industrial Engineering and Futures Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran
2 Department of Industrial Engineering and Futures Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran
3 Department of Industrial Engineering and Futures Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran.
4 Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran
doi
10.22091/jemsc.2025.11872.1232چکیده
Technological advancements in Industry 4.0, particularly through the integration of technologies such as digital twins, the Internet of Things (IoT), and artificial intelligence (AI), have led to significant changes in manufacturing processes. This study investigates the implementation of a digital twin system as one of the key technologies of this industrial revolution in a factory affiliated with the Entekhab Industrial Group. The proposed system consists of three main subsystems: real-time data acquisition, simulation using MoldFlow software, and AI based on a neural network developed in the Python environment. Additionally, a user interface was designed for system interaction. The digital twin simulator is capable of reducing production cycle time while maintaining product quality by real-time adjustment of parameters such as pressure, injection speed, mold temperature, and coolant water temperature. The results showed that implementing this system led to a 13.3% reduction in cycle time and an increase in production rate.
