Digital Twin supported Model-based Design of Experiments and Quality by Design
The pharmaceutical and specialty chemical industries are challenged with the requirement of faster time-to-process to meet market demands. Here, Modular Plants made up of predesigned process equipment assemblies (PEAs) are advantageous. Moreover, equipment-based Digital Twins of these modules can further reduce the time-to-process when combined with methods such as Quality by Design (QbD) and model-based design of experiments (MBDoE) to reduce uncertainty. This paper presents a lab scale-based workflow using an equipment-based Digital Twin, which applies QbD and MbDoE methods to identify the Design Space in the lab scale which can be transferred to production scale equipment as part of a Digital Twin based workflow for scale-up in Modular Plants.
Authors
- Leon Urbas (ORCID: https://orcid.org/0000-0001-5165-4459)
- Isabell Viedt (ORCID: https://orcid.org/0000-0002-5814-5128)
- Jessica Ebert
- Andreas Bamberg
- Amy Koch
Institutions
- Merck Biopharma Co., Ltd. (Japan) (JP)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Systems and Control Transactions
- Published
- 2025-06-30
- DOI
- https://doi.org/10.69997/sct.166037
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Technische Universität Dresden
- Siemens