Fraunhofer USA Center Mid-Atlantic CMAStabilizing Automated Vial Filling Process Project
Providing expertise in data science and AI model development. Designing and integrating the alert system for real-time monitoring. Ensuring the system’s scalability and reliability for industrial applications. Supporting the company from prototype development to full-scale deployment.
Customer Testimonial
“The collaborative project effort between the teams has demonstrated exceptional expertise and innovation with a successful AI implementation. The cutting-edge solution has significantly enhanced our operations, delivering outstanding results and setting a new standard for excellence in the industry. We are incredibly impressed with the team commitment to quality and the seamless integration of technology into our processes”
Problem/Trigger Event/Background
The pharmaceutical company faced an unstable automated vial filling process, leading to substantial losses as inaccurately filled vials had to be discarded. Error detection occurred too late in the process, causing inefficiencies and increased costs. This challenge highlighted the need for a more reliable and proactive solution.
Approach
Our approach involved:
Data Collection: Analyzing a large set of production data collected over several months.
AI Model Development: Identifying root causes for out-of-range filled vials and creating predictive AI models for determining the changes needed for a stabilized process in real-time.
Building an Alert System: Building an alert system to notify operators of required parameter changes, such as fill pressure adjustments ahead of time.
Support: Supporting system operation to ensure the filling process is stabilized, filling is accurate, wastage has been reduced.
Project Team
The project team comprises experts in data science, AI, and process optimization. The project is a collaborative effort with experts from Fraunhofer USA, Delta Bravo AI and faculty from the College of Charleston.
Funding Source
The Stabilizing Automated Vial Filling Process project is funded through the SC Fraunhofer USA Alliance program (more info below) with 50% of the funding coming from the South Carolina Department of Commerce and 50% directly from the pharmaceutical company in SC.
About the South Carolina Fraunhofer USA Alliance (SCFUSA)
The SCFUSA is a collaboration between The South Carolina Council on Competitiveness, the South Carolina Department of Commerce, Fraunhofer USA, and South Carolina’s universities. The Alliance was established in 2019 to promote and provide technical guidance and financial support for applied research that spurs innovation and improves the competitiveness of South Carolina companies and results in a positive economic impact to the state and its workforce.