Digital Twins: A General Overview of the Biopharma Industry

被引：4

作者：

Canzoneri, Michelangelo ^{[1
]}

De Luca, Alessandro ^{[1
]}

Harttung, Jakob ^{[2
]}

机构：

[1] Merck KGaA, Darmstadt, Germany

[2] Sanofi, Ind Affairs, Gentilly, France

来源：

DIGITAL TWINS: APPLICATIONS TO THE DESIGN AND OPTIMIZATION OF BIOPROCESSES | 2021年 / 177卷

关键词：

3D model; Biopharma industry; Connectivity; Contextualizing data; Critical process parameters (CPP); Critical quality attributes (CQA); Data; Digital twin; Healthcare; Holistic; Human factor; Laboratory; Lifecycle; Logistics; Manufacturing; Ontologies; Operations; People; Physical asset; Predictive; Prescriptive; Quality by design (Qbd); Research and development (R&D); Self-driving; Sensors; Simulation; Supply chain; Taxonomies; Virtual Model; VUCA;

D O I：

10.1007/10_2020_157

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

This chapter gives an industry perspective of how digital twins are tangibly translated, implemented, and used in a biopharmaceutical environment. Technical prerequisites and components including data modeling, the lifecycle, and different skills which are required from people to be put together and collaborate efficiently with digital twins are discussed with practical examples which have been implemented in labs and in manufacturing.

引用

页码：167 / 184

页数：18

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