2020 - OSIsoft PI World San Francisco - Life Sciences, Food, Beverage
Advances in Data Analytics for Continuous Manufacturing
Merck’s journey in continuous manufacturing began with a need to capture and analyze large data sets to develop high quality and robust solutions during product development. As the product matures from the development stage to filing, proactive process analysis is critical to product success. By characterizing continuous processes through the analysis of process parameters, quality attributes, and equipment performance indicators, we can monitor key data sets to support early detection of process shifts resulting in optimized product quality and yield. To maximize the impact of these analyses, a data solution must empower scientists, engineers, and managers to collaborate and share insights across teams.
Merck & Co., Inc.
Laura is a Senior Scientist, Engineering in the Merck Manufacturing Division, Pharmaceutical Commercialization Technology group supporting pharmaceutical process development of oral solid dosage forms from Phase IIb through regulatory filings, process performance qualification, and into commercial launch. Laura has been very involved in developing Merck’s first continuously manufactured drug product from equipment design through process development and control strategy evaluation.
Emily Johnston is a Senior Analytics Engineer at Seeq Corporation. With a background in biomedical engineering and process automation in the life sciences industry, Emily supports Seeq customers to analyze their data and develop solutions.
Laura and Emily work together to utilize PI and Seeq to analyze extensive continuous manufacturing datasets in support of enhanced process, product, and technology development.