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Developments and Trends in Industrial Process Analytics for Life Science Applications
Author(s) -
Gerlach Martin,
Gross Reinhard,
Steckenreiter Thomas,
Traenkle Jens,
Tulke Albert
Publication year - 2017
Publication title -
chembioeng reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.089
H-Index - 22
ISSN - 2196-9744
DOI - 10.1002/cben.201600030
Subject(s) - variety (cybernetics) , process (computing) , analytics , computer science , data science , control (management) , work in process , process control , risk analysis (engineering) , process management , engineering , artificial intelligence , business , operations management , operating system
Process analytics and process analyzer technology are the basis need to address specific requirements of industrial life‐science processes in order to become extensively employed in this area. This is due to a variety of regulatory demands, but also due to the complexity and other challenges of the individual measurement and control tasks. Examples of recent achievements are presented here. Real time information – substance‐specific where appropriate – as a basis for an improved understanding of the processes and for superior automated process control are among the most prominent requirements.