Digital Twin supported Model-based Design of Experiments and Quality by Design

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

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.

Details

Original languageEnglish
Title of host publicationProceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35)
Pages521-527
Number of pages7
ISBN (electronic)978-1-7779403-3-1
Publication statusPublished - 1 Jul 2025
Peer-reviewedYes

Publication series

SeriesSystems and Control Transactions
Volume4
ISSN2818-4734

External IDs

ORCID /0000-0002-5814-5128/work/191040054
ORCID /0000-0001-5165-4459/work/191040742
ORCID /0009-0009-4740-0590/work/191041785
Mendeley ab680e8f-5062-39a9-9aca-8f7555237229

Keywords

Keywords

  • Digital Twins, Model-based Design of Experiments, Quality by Design, Scale-Up