Due to the situation caused by the new corona virus we had to postpone the EuroPACT2020 conference previously scheduled 18-20 May 2020.
The competitiveness of all processing industries – from (petro)-chemicals over pharmaceuticals to foods & feeds – greatly depends on its ability to deliver consistent, high-quality and high-value products at competitive prices, in a sustainable way. Data, Data Analytics and Process Analytical Technology will become the cornerstones for any global, competitive industry, and process analytical techniques are an essential tool in this future.
With this in mind EUROPACT 2021 focusses on featuring innovation along the following three pillars:
1. Process Analytics in Real-World Manufacturing
2. From Data to Process Monitoring, Control and Optimization
3. Novel PAT and Instrumental Technologies
The conference will be completed by an exhibition of instrumentation, applications and data evaluation tools.
EUROPACT 2021 provides a unique meeting and a discussion forum for researchers and users of process analytics from both academia and industry. The conference program will include plenary and invited lectures and plenty of opportunity for discussion with colleagues during poster sessions.
In order to allow all attendees to participate safely, this year's event will be held fully virtual.
The expectations of the event will remain the same high quality. The exchange with exhibitors will take place in a new interactive framework and will be supported by the possibility of short presentations. Networking with key note speakers and scientists will be implemented in the virtual setting. Workshops, PAT speed dating and student meet & greets will foster the interaction among all participants with the right virtual tools.
In addition to the poster prize, the Working Group “Prozessanalytik” will assign the 7th Process Analytics Award for Young Scientists for an outstanding publication in the field of Process Analytics during the closing ceremony of EuroPACT 2021.
We are looking forward to your participation in the unique setting.
SCIENTIFIC COMMITTEE
Dr. Tobias Eifert, Covestro Deutschland AG, Uerdingen/D
(CONFERENCE CHAIR)
Prof. Franciscus Winfried J van der Berg, University of Copenhagen/DK
Katharina Dahlmann, Hamilton Bonaduz AG/CH
Dr. Tobias Eifert, Covestro Deutschland AG, Uerdingen/D
Dr. Massimiliano Grosso, University of Cagliari/I
Prof. Dr. Christoph Herwig, TU Wien/A
Prof. Dr. Anna de Juan Capdevila, University of Barcelona/E
Dr. Martin Gerlach, Bayer AG, Leverkusen/D
Prof. Dr. David Littlejohn, University of Strathclyde, CPACT, Glasgow/UK
Dr. Michael Maiwald, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin/D
Dr. Alison Nordon, University of Strathclyde, CPACT, Glasgow/UK
Dr. Oliver Reich, InnoFSpec/Potsdam University/D
Dr. Sylvie Roussel, Ondalys/F
Johanna Rühl, Inno-spec GmbH, Nürnberg/D
Werner Worringen, Yokogawa Deutschland GmbH/D
LOCAL ORGANISING COMMITTEE
Prof. Franciscus Winfried J van der Berg, University of Copenhagen/DK
Katharina Dahlmann, University Hannover/D
Dr. Tobias Eifert, Covestro Deutschland AG, Uerdingen/D
Prof. Dr. Christoph Herwig, TU Wien/A
Natalie Kerr, University of Strathclyde, CPACT, Glasgow/UK
Nina Weingärtner, DECHEMA e.V., Frankfurt am Main/D
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Mon, 15. November 2021 From data to knowledge: Follow the Eight-Fold Path! In future, value creation will only be possible in a cooperative manner. It is quite a journey to come from data to knowledge. I’ll show you the main steps and pitfalls for the process industry, but I am confident, that most thoughts can be applied more generally. It is often more a question of mindset than of technology to arrive successfully |
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Tue, 16. November 2021 Process Analytics in Pharmaceutical and Biopharmaceutical industry |
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Tue, 16. November 2021 The role of Data in Process Control: Modeling, Monitoring and Optimization |
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Tue, 16. November 2021 The Automation Ecosystem: considerations for Implementing PAT in the factory |
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Tue, 16. November 2021 Feedback as a means to cope with model deficiencies: the need for measurement information |
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Wed, 17. November 2021 Advances in QCL for PAT |
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Wed, 17. November 2021 Spatially Resolved Spectroscopy in Industry 4.0: the asset of multipoint measurements? |
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Wed, 17. November 2021 Smart PAT: shifting quality control to the shop floor Biopharmaceutical manufacturing is well-known as a complicated and intricate process. One major challenge in this process is the product itself. Proteins are highly complex molecules with many closely related variants, making analysis and control difficult. Quality control relies on regular process sampling and complex analytics that can typically only be performed in the lab. Improving this quality control process requires a true disruption of the traditional in-lab work with an advancement to smart PAT. Smart PAT shifts quality and performance monitoring to the shopfloor to enable in-line monitoring, automated process control, and real-time release. Enabling smart PAT requires: 1. Innovation of new real-time measurement technologies that overcome the challenges of miniaturization, durability, specificity, and speed to measure quality and performance attributes during the process. 2. Progressing digitization to enable innovative process analytics (soft sensors), advanced process control (e.g. digital twin simulation), preventative maintenance, and asset management. These innovations in technology and digital solutions make quality control faster, more agile more compliant. |
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Wed, 17. November 2021 Smart Equipment |
Mehr Informationen: Commitee Programme Keynote Speakers Sponsors Exhibitors
