From Discovery to Production: Challenges and Novel Methodologies for Next Generation Biomanufacturing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


The increasingly pressing demand of novel bio-drugs (e.g., gene therapies) with unprecedented levels of personalization, has put a remarkable pressure on the traditionally long time required by the pharma R&D and manufacturing to go from design to production of new products. In fact, practitioners are increasingly moving away from the classical paradigm of large-scale batch production to continuous biomanufacturing with flexible and modular design, which is further supported by the recent technology advance in single-use equipment. In contrast to long design processes, low product variability (one-fits-all), and highly rigid systems, modern pharma players are answering the question: can we bring design and process control up to the speed that novel production technologies give us to quickly set up a flexible production run? In this tutorial, we present key challenges and potential solutions in terms of new bioprocess modeling and control strategies for integrated design and manufacturing of next generation bio-drugs.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 Winter Simulation Conference, WSC 2022
EditorsB. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C.G. Corlu, L.H. Lee, E.P. Chew, T. Roeder, P. Lendermann
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages15
ISBN (Electronic)9798350309713
StatePublished - 2022
Event2022 Winter Simulation Conference, WSC 2022 - Guilin, China
Duration: Dec 11 2022Dec 14 2022

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Conference2022 Winter Simulation Conference, WSC 2022

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


Dive into the research topics of 'From Discovery to Production: Challenges and Novel Methodologies for Next Generation Biomanufacturing'. Together they form a unique fingerprint.

Cite this