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Related Experiment Video

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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

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The Challenge of Implementing Digital Twins in Operating Value Chains.

Roman Werner¹, Ronny Takacs¹, Dominik Geier²

¹Chair of Brewing and Beverage Technology, Technical University of Munich, Munich, Germany.

Advances in Biochemical Engineering/Biotechnology

|December 30, 2020

Summary

Digital twins offer significant potential but require integrated data across value chains. This review explores strategies for implementing digital twins in operating bioprocess industries, supported by case studies.

Keywords:

Digital twin management systems Ecosystems Operating value chains Standardization

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Area of Science:

Industrial Engineering
Biotechnology
Information Technology

Background:

Digital twins are increasingly vital for optimizing industrial processes.
Integrating digital twins into existing, operating value chains presents significant challenges.
Bioprocess and related industries require tailored strategies for digital twin implementation.

Purpose of the Study:

To review and discuss strategies and tools for implementing digital twins in operating bioprocess value chains.
To provide practical insights through recent case studies.
To facilitate the adoption of digital twin technology in established industrial settings.

Main Methods:

Literature review of digital twin implementation strategies.
Analysis of tools applicable to operating environments.
Case study examination of successful implementations in bioprocess industries.

Main Results:

Identified key challenges in integrating digital twins into live production.
Presented effective strategies and tools for overcoming these challenges.
Demonstrated successful application through three distinct case studies.

Conclusions:

Successful digital twin implementation in operating bioprocesses is feasible with the right strategies.
The reviewed approaches and case studies offer a roadmap for industry adoption.
Digital twins can enhance efficiency and integration across bioprocess value chains.