LAPSE:2025.0235v1
Published Article
LAPSE:2025.0235v1
Digital Twin supported Model-based Design of Experiments and Quality by Design
June 27, 2025
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.
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.
Record ID
Keywords
Digital Twins, Model-based Design of Experiments, Quality by Design, Scale-up
Subject
Suggested Citation
Koch A, Ebert J, Viedt I, Bamberg A, Urbas L. Digital Twin supported Model-based Design of Experiments and Quality by Design. Systems and Control Transactions 4:521-527 (2025) https://doi.org/10.69997/sct.166037
Author Affiliations
Koch A: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering; Technische Universität Dresden, Process-to-Order Group, Process-to-Order Lab Learning Factory
Ebert J: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering
Viedt I: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering; Technische Universität Dresden, Process-to-Order Group, Process-to-Order Lab Learning Factory
Bamberg A: Merck Electronics KGaA
Urbas L: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering; Technische Universität Dresden, Process-to-Order Group, Process-to-Order Lab Learning Factory; Technische Universität Dresden, Process-to-Order Group, Chair of Process
Ebert J: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering
Viedt I: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering; Technische Universität Dresden, Process-to-Order Group, Process-to-Order Lab Learning Factory
Bamberg A: Merck Electronics KGaA
Urbas L: Technische Universität Dresden, Process-to-Order Group, Process Systems Engineering; Technische Universität Dresden, Process-to-Order Group, Process-to-Order Lab Learning Factory; Technische Universität Dresden, Process-to-Order Group, Chair of Process
Journal Name
Systems and Control Transactions
Volume
4
First Page
521
Last Page
527
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 0521-0527-1443-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0235v1
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https://doi.org/10.69997/sct.166037
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Jun 27, 2025
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Links to Related Works
References Cited
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