Decision Making and Risk Management in Biopharmaceutical Engineering—Opportunities in the Age of Covid-19 and Digitalization | Zendy

Michael Sokolov | Zendy

Open Access

Decision Making and Risk Management in Biopharmaceutical Engineering—Opportunities in the Age of Covid-19 and Digitalization

Author(s) -

Michael Sokolov

Publication year - 2020

Publication title -

industrial and engineering chemistry research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.878

H-Index - 221

eISSN - 1520-5045

pISSN - 0888-5885

DOI - 10.1021/acs.iecr.0c02994

Subject(s) - biomanufacturing , covid-19 , biopharmaceutical , process (computing) , risk analysis (engineering) , empowerment , pandemic , knowledge management , computer science , risk management , value (mathematics) , process management , business , engineering management , management science , engineering , political science , medicine , genetics , disease , pathology , virology , machine learning , outbreak , infectious disease (medical specialty) , law , biology , operating system , finance

In 2020, the Covid-19 pandemic resulted in a worldwide challenge without an evident solution. Many persons and authorities involved befriended the value of available data and established expertise to make decisions under time pressure. This omnipresent example is used to illustrate the decision-making procedure in biopharmaceutical manufacturing. This commentary addresses important challenges and opportunities to support risk management in biomanufacturing through a process-centered digitalization approach combining two vital worlds-formalized engineering fundamentals and data empowerment through customized machine learning. With many enabling technologies already available and first success stories reported, it will depend on the interaction of different groups of stakeholders how and when the huge potential of the discussed technologies will be broadly and systematically realized.

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