Biomanufacturing and Process Industry:
From Simulation To Real-Time Digital Twin and AI - Implementation in a Food Manufacturing Plant (CreateASoft)
Where: Salon K (Technical Session) - Commercial Case Studies, Manufacturing and Industry 4.0
When: 2:30pm - 3pm (Monday, December 11th)
Who: Hosni Adra (CreateASoft, Inc.) - WSC Exhibit Chair
Abstract
Data-Driven simulation models are valuable tools to improve the accuracy of the models and enable them to transition to real-time predictive analytics tools. Adding AI (Artificial Intelligence) and ML (Machine Learning) enables those model to provide feedback and real-time optimization in un-attended environment. This paper details the steps and benefits that were used to implement such system in a large filling and packaging manufacturing setting, from initial randomized models to full real-time digital twin systems. Final models were used to optimize (real-time and offline) changeover, CIP (Clean in Place), production, filling lines, and material handling.