Digital Twin for Pharmaceutical Webinar Series

Watch the recording of our 3-part webinar series for the Pharmaceutical Industry

• Digital Twin Vision for the Pharmaceutical Industry (recorded on 13 May)
• Achieve Process Efficiency with Advanced Fluid & Particle Dynamics Simulation in the Pharmaceutical Industry (recorded on 26 May)
• From digital design to digital operation: Leveraging R&D knowledge through mechanistic models (recorded on 27 May)

Digital Twin Vision for the Pharmaceutical Industry

13 May, 15:00 BST/10:00 EDT

Speaker: Ivo Backx – Digitalization Consultant, Siemens

Guest Speaker: Marianthi Ierapetritou - University of Delaware, Bob and Jane Gore Centennial Chair of Chemical and Biomolecular Engineering

This webinar will introduce various Digital Twin concepts throughout the lifecycle of manufacturing in the pharmaceutical industry.

The disruptive nature of digitalization opens up new business opportunities, address patient safety and time to market requirements. More importantly, it can create an efficient platform to satisfy regulatory requirements.

Pharmaceutical companies are looking to Digitalization to streamline operations and bring products to market faster. In this webinar, Ivo Backx will introduce the concept of Digital Twins that cover multiple areas; all the way from Ideation to Realization and finally Utilization phases of the lifecycle of a product. Prof. Ierapetritou will then explain the role of physics-based and data-based computational models in creating digital twins. She will discuss the current state and future needs for using these twins for meeting regulatory requirements.

Shorten time to market , Increase flexibility, Improve quality, Increase efficiency

Join us for this webinar to find out and see how Siemens can help.

Achieve Process Efficiency with Advanced Fluid & Particle Dynamics Simulation in the Pharmaceutical Industry

26 May, 15:00 BST/10:00 EDT

Speakers: Ravi Aglave - Director, Energy & Process, David Russ - Solution Consultant, Siemens

Guest Speaker: Iman Mirzaee – Sr. Engineer, Amgen

Digital transformation is a dominant trend in the process industries to address profitability and productivity goals. Advanced process modeling and simulation play a central role in both digital design and intelligent digital operations, by capturing deep process knowledge in a way that can be leveraged within Digital Twins to generate value over the lifetime of the process.

In the pharmaceutical industry, digital twins of key processes—built from physics-based computational models—have been successfully used to address many of the challenges surrounding scale-up and troubleshooting, resulting in reduced operating costs across manufacturing and quality divisions.

If you would like to see examples of the benefits of deploying simulation: CFD (Computational Fluid Dynamics), DEM (Discrete Element Modeling) and multiscale problems coupling with Advanced Process Modeling in the Pharmaceutical industry, please join us for a complimentary webinar.

In this webinar, we will discuss how simulation can be used in process development from multiple aspects:

• Fluid flow and hydrodynamic behavior, multiphase behavior
• Particle flows, coupled fluid and particle flows
• Reactions, crystallization, fermentation and other unit operations etc.

From digital design to digital operation: Leveraging R&D knowledge through mechanistic models

27 May, 15:00 BST/10:00 EDT

Speaker: Dana Barrasso, PhD – Strategic Business Director Small Molecule Pharma, PSE

Mechanistic models are becoming more commonly applied for research and development in the pharmaceutical sector, where a typical workflow includes validating a model against experimental data and applying the model to predict quantitatively effects of critical process parameters on the product’s critical quality attributes. Currently, these tools are almost exclusively employed in an offline manner, primary aimed at scale-up/tech transfer as well as assessing process robustness and variability, with very little subsequent online application of the model for control or soft sensing purposes. As pharmaceutical manufacturing evolves towards continuous processing and use of digital techniques (Industry 4.0), interest has grown in applying the advanced approaches used in other industries to reduce risk and increase efficiency in pharmaceutical operations.

In this talk, case studies within the pharmaceutical sector will be presented to demonstrate the use of mechanistic models in the pharmaceutical industry across the lifecycle – from R&D to operations. Recent advances in integrating mechanistic models with online control and monitoring interfaces will be presented. Finally, strategies will be discussed to increase the adoption of these tools in the pharmaceutical sector, leveraging knowledge from R&D to enable online control.