Project Duration
August 2021 – December 2023 (29 months)
Team
30 employees led by Chief Engineer: Alice Rodriguez
Estimated Cost
$3.1 million
This project creates a virtual replica (Digital Twin) of physical processes, machinery, and facilities, enabling real-time monitoring, analysis, and optimization of operations. Digital twins empower companies to simulate various scenarios to improve productivity and efficiency.
Collect process data and develop virtual models (5 months)
Simulation Environment Setup
Create a testing environment for simulations (6 months)
Connect the digital twin with physical processes (7 months)
Validate the model’s accuracy through real-time comparisons (6 months)
Implement the twin for operational use and continuous monitoring (3 months)
Provide ongoing model updates and improvements (2 months)
Manual monitoring of industrial operations leads to inefficiencies and delayed responses to issues. Companies need predictive insights to optimize workflows.
Enables industries to reduce energy consumption and carbon emissions through efficient production planning and resource allocation.
The Digital Twin helps organizations enhance productivity, optimize resource usage, and reduce energy consumption through improved operational planning.