How to Design and Control your Process on a Molecular Level?

Seminar by Dr. Rudolf Kessler and Hon.Prof Waltraud Kessler

November 14th, 2022 | 10.00 – 13:30

In person: Sala de conferències TR5 , ESEIAAT

On-line (streaming): https://meet.google.com/owi-zhhk-imt

Content

The future of manufacturing.

How to design and optimise a manufacturing process.

 In-line spectroscopy and Spectral Imaging as a tool for process control on a molecular level.

Data analytics and information retrieval.

Since March 2018 Rudolf and Waltraud Kessler are managing directors of Kessler ProData GmbH (http://www.kesslerprodata.de). Kessler ProData GmbH supports the industry inthe manufacturing of materials and products with tailor-made properties. The focus of Kessler ProData GmbH is on the evaluation of complex data structures and the in-line prediction of quality parameters. Their approach adopts the “PAT/QbD” philosophy (Process Analytical Technology/Quality by Design), as it has been implemented in the chemical, biotechnological and pharmaceutical industries, and is inspired by the concepts of “Industry 4.0” or the “Internet of Things” of the processing industry. The tools focus on the methods of statistical design of experiments (DoE), multivariate data analysis (MVA) and spectroscopic in-line control, which allow to control the products’ manufacturing based on molecular information.

Professor Dr. Rudolf Kessler is a professor at the Faculty of Applied Chemistry at Reutlingen University. After his doctoral thesis on spectroscopy of surfaces, he worked for several years at Mercedes Benz in Stuttgart. He is a founding member of the Process Analysis working group of the GDCh and DECHEMA. His research in optical spectroscopy, especially spectral imaging and near-field spectroscopy, is reflected in over 200 scientific articles in the field, numerous patents, and more than 70 national and international projects.

Professor Waltraud Kessler, a graduated physicist, is an honorary professor at Reutlingen University. Prof Kessler was a member of the board of the chemometrics working group for many years and is currently an expert in the process analysis working group of the European Pharmacopoeia Commission. In addition, she headed the Steinbeis Institute at the Steinbeis University in Berlin with the aim of implementing the ideas of multivariate data analysis in industry. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements