This tool is a data-driven framework designed for the automated generation of simulation models, serving as the foundation for Digital Twins in smart factories. It is a multi-layer toolkit — a Data-Driven Digital Twin system — developed to enable real-time or near-real-time simulation, planning, and synchronization of production and logistics systems during line reconfiguration.

The production logistics (PL) system is a large-scale, complex environment that spans multiple operational stages (e.g., production, transportation, and storage) and management levels (e.g., workshop, department, and enterprise). Leveraging data from the Production Traceability Solution, the tool provides a real-time digital representation of the physical layer, capturing system dynamics accurately and evaluating their impact on overall operational performance.

By enabling early detection of issues in system design or process sequences, the Digital Twin supports cross-domain simulation and reduces the complexity and time required for production and logistics reconfiguration. It enhances decision-making capabilities in the planning and control of key operational areas, including logistics, production, changeover, maintenance, quality, and safety.