2017 - Users Conference - San Francisco - Life Sciences/Food & Beverage/Specialty Chemicals
Pharmaceutical Manufacturing Improvement Through Leverage of PI System Data and Analytical Tools
Bristol-Myers Squibb is an EA customer and has years of process data associated with:
• Process development
• Clinical and commercial manufacture of pharmaceuticals.
This data is stored in multiple PI Systems as well as other systems. But we are challenged to find the data of interest for specific process conditions, events, and time periods. This is of particular importance for:
• Comparison of batch differences during process development and scaleup campaigns.
• Investigations of issues, such as quality and yield, in clinical and commercial manufacturing.
Even with recipe context this is often a challenge as process and recipe events do not always coincide. Whether in clinical or commercial manufacturing, finding the data is 60-80% of the overall analysis time. Engineers and scientist need better tools for finding this data of interest. We will present a case study using Seeq to find data of interest for process development campaigns and key business outcomes.
- Pharmaceuticals & Life Sciences
Robert Forest earned a B.S. in Chemical Engineering from Louisiana State University in 2010 and earned a Ph.D. in Chemical Engineering from the University of Delaware in 2015. He has been a development engineer with Bristol-Myers Squibb since 2015 and has focused on small molecule pharmaceutical process development and scale up.
Daniel Wasser is Lead of Process Modeling and Data Analytics in GMS IT at Bristol-Myers Squibb. Dr. Wasser earned his B.S. and M.S. in Chemical Engineering from Case Western Reserve University and his Ph.D. in Biomedical Engineering and Mathematics from the University of North Carolina. He began his career with Mobil implementing advanced control automation projects in pilot plants and refineries. He then joined Foster Wheeler’s Pharmaceutical Advanced Systems group where he managed projects and software development for modeling and optimization of API and biologics production facilities. Dr. Wasser joined Bristol-Myers Squibb in 2004 and has held several positions in process development and IT supporting process automation systems, electronic batch reporting, and integration of process modeling and PAT for advanced process monitoring & control. He currently leads the IT effort in process modeling and data analytics for BMS global manufacturing.