With Dr. Philippe Solot October 28- 31 Live Streamed Classroom - Register Now!
Next Course Date
October 28 - 31, 2024 Live Streamed Classroom |
|
|
| Dr. Philippe Solot is Chief Executive Officer of AICOS Technologies, a company which he co-founded in 1997 and which is specialized in facilitating the use of statistical methods by scientists active in the process industry. He previously served five years as Consultant in the Scientific Services department of Ciba-Geigy Ltd., the multinational chemical-pharmaceutical company that merged with Sandoz to form Novartis. |
|
|
Course runs 7:00 to 12:00 ET / 12:00 to 17:00 CET Quality by Design (QbD) means that, starting from the very first development step, products and processes are designed in a way to ensure a high level of quality and reliability. One of the main QbD tools is statistical Design of Experiments (DoE), which enables to perform the necessary experiments in an efficient and structured way. This constitutes the most effective manner to identify the Critical Process Parameters (CPP’s) and Material Attributes (CMA’s) that, together, influence most the quality characteristics of highest concern, the so-called Critical Quality Attributes (CQA’s). Of course, the methodology can also be applied to optimize existing products or processes. |
|
|
After completing the course, the participants will have a thorough understanding of the concepts of statistical Design of Experiments (DoE). They will have gained confidence thanks to the many practical exercises, so that they can solve practical problems easily and efficiently in their daily work, when developing or optimizing products and processes in the QbD context. Among the advanced topics, the participants will in particular learn how to deal with typical complex practical situations such as the simultaneous optimization of several potentially contradictory Critical Quality Attributes (CQA’s), the optimization of formulations or the consideration of technical difficulties like an imprecise setting of the process parameters. |
|
|
|
No comments:
Post a Comment