The Best of the Sartorius Data Analytics User Meeting 2022

Here are some of the highlights and insights

Keynote Speaker

Amgen: Improving Equipment Reliability Through Condition-Based Maintenance

In this presentation, Chris Garvin, Director Data Sciences at Amgen shared how they use real-time multivariate statistical process control (RT-MSPC) via  SIMCA^®-online for condition-based equipment maintenance in 10 of their manufacturing plants. Condition-based maintenance (CBM) is a maintenance strategy that monitors the real-time condition of an asset to determine what maintenance needs to be done and when. This enables Amgen to approach equipment maintenance and replacement strategies proactively. 

In his presentation, Chris gave numerous examples of how data analytics helped the company generate real-time process insights from large volumes of data at its manufacturing plants.  

“Rethinking maintenance can give us a ‘check engine’ light on our equipment”

^{Chris Garvin, Director Data Sciences at Amgen}

Chris explained, giving examples of how using SIMCA^®-online enables them to:

• Increase equipment reliability - Maintenance is performed precisely when needed to anticipate and prevented catastrophic failure events, avoiding costly product loss  
• Maximize equipment availability - Unplanned downtime and unnecessary maintenance are limited, increasing plant capacity and output
• Reduce inventory of spare parts - Efficient, need-based maintenance allows for the reduction of inventory
• Optimize plant staffing – Employee efficiency is maximized by reallocating staff from maintenance and investigations to higher-value activities

Watch Talk

Life Science Customers 

Eli Lilly: Creating a New Paradigm in Process Monitoring within Drug Substance Manufacturing

In this presentation, Anthony Maguire, Consultant Statistician at Eli Lilly explained how SIMCA^® and SIMCA^®-online are used to enable the move from reactive to proactive monitoring behaviors. 

He said, “adopting real-time MVDA process monitoring is like having a new set of eyes on your process, enabling you to detect small issues that happen every day to prevent major issues later.”

Watch Talk

Eli Lilly’s manufacturing teams offered praise for the improvements that real-time monitoring provides:

Takeda: Real-Time MVDA Monitoring of Biopharmaceutical Manufacturing Process With SIMCA^®-online

Takeda’s presentation touched on how data analytics is applied across their ten sites globally, with over 40 SIMCA^® models currently deployed. What makes MVDA modeling at Takeda unique is that it is used to analyze not only batch but also continuous systems. According to Baptiste Duhem, Digital Transformation Lead at Takeda, feeding MVDA models with continuous data can add a new dimension to their ability to detect deviations sooner. 

With processes involving manual or semi-automated platforms (such as chromatography column packing), data can actually be added to the model by breaking these steps down into phases to standardize data collection. 

Watch Talk

Sanofi (Vaccines): Process Monitoring and Troubleshooting

Sanofi scientists explained the importance of data contextualization and infrastructure when it comes to making data “business ready.” At Sanofi, there are several data sources that feed into their data analytics tools, and that without the proper data infrastructures in place, it could lead to “wasted time/rework, delayed decision making due to manual work before analysis, and additional FTEs.” 

At Sanofi, MODDE^®, SIMCA^®, and SIMCA^®-online are used in combination to improve process observability. Data analytics starts in the early stages of planning and process design and is extended all the way to optimizing commercial manufacturing processes. Sanofi also touched on some of their current initiatives to improve process monitoring techniques by incorporating Raman-based MSG monitoring and fermenter feeding, process analytical technology (PAT) for in-line measurements of CQAs during TFF steps, and image analysis for drug substance vial inspection.

Watch Talk

The Umetrics^® Suite of data analytics software gives users access to powerful and easy-to-use tools to optimize manufacturing processes and bring quality products to market faster.

The annual Sartorius Data Analytics User meeting gives Umetrics^® Suite users - and those interested in learning more about how data analytics can be applied to process development or process optimization - a chance to hear insights from practical applications. 

The 2022 meeting demonstrated the broad capabilities of the Umetrics^® Suite and how it can be applied to solve industry problems. The meeting also facilitated in-person networking between expoerts, customers, and partners to drive future collaborations. 

To download the presentations, visit the User Meeting page.