TY - CHAP
T1 - Towards the Development of Digital Twins for the Bio-manufacturing Industry
AU - L. Gargalo, Carina
AU - Caño de Las Heras, Simoneta
AU - Jones, Mark Nicholas
AU - Udugama, Isuru
AU - Mansouri, Seyed Soheil
AU - Krühne, Ulrich
AU - Gernaey, Krist V.
PY - 2021
Y1 - 2021
N2 - The bio-manufacturing industry, along with other process industries, now has the opportunity to be engaged in the latest industrial revolution, also known as Industry 4.0. To successfully accomplish this, a physical-to-digital-to-physical information loop should be carefully developed. One way to achieve this is, for example, through the implementation of digital twins (DTs), which are virtual copies of the processes. Therefore, in this paper, the focus is on understanding the needs and challenges faced by the bio-manufacturing industry when dealing with this digitalized paradigm. To do so, two major building blocks of a DT, data and models, are highlighted and discussed. Hence, firstly, data and their characteristics and collection strategies are examined as well as new methods and tools for data processing. Secondly, modelling approaches and their potential of being used in DTs are reviewed. Finally, we share our vision with regard to the use of DTs in the bio-manufacturing industry aiming at bringing the DT a step closer to its full potential and realization.
AB - The bio-manufacturing industry, along with other process industries, now has the opportunity to be engaged in the latest industrial revolution, also known as Industry 4.0. To successfully accomplish this, a physical-to-digital-to-physical information loop should be carefully developed. One way to achieve this is, for example, through the implementation of digital twins (DTs), which are virtual copies of the processes. Therefore, in this paper, the focus is on understanding the needs and challenges faced by the bio-manufacturing industry when dealing with this digitalized paradigm. To do so, two major building blocks of a DT, data and models, are highlighted and discussed. Hence, firstly, data and their characteristics and collection strategies are examined as well as new methods and tools for data processing. Secondly, modelling approaches and their potential of being used in DTs are reviewed. Finally, we share our vision with regard to the use of DTs in the bio-manufacturing industry aiming at bringing the DT a step closer to its full potential and realization.
U2 - 10.1007/10_2020_142
DO - 10.1007/10_2020_142
M3 - Book chapter
C2 - 33349908
T3 - Advances in Biochemical Engineering/Biotechnology
SP - 1
EP - 35
BT - Advances in Biochemical Engineering/Biotechnology
PB - Springer
CY - Berlin, Heidelberg
ER -