Framework zur Einführung digitaler Zwillinge im ökologischen Nachhaltigkeitskontext

  • Karla Fuchs

Research output: ThesisMaster's / Diploma thesis

Abstract

With the adoption of the European Green Deal, the urgency of sustainable environmental measures has become even clearer. However, this green transformation cannot take place without the digital transformation. The twin transition, combining both transformations, is seen as the solution to achieving the climate targets. The green transformation can be driven by innovative technologies. One of these technologies is the digital twin. The digital twin offers the possibility to optimize physical entities, also in the context of sustainability, and is therefore seen as an ideal tool to promote the twin transformation. The digital twin offers the opportunity to reduce resource and energy consumption as well as waste generation in the industry sector, one of the sectors with the greatest impact on the environment. However, as the digital twin also has a negative impact on the environment, it is essential that it is designed and operates in the most environmentally friendly way possible. A digital twin that not only sustainably optimizes the physical entity, but also acts as environmentally friendly as possible within itself, is referred to as a green digital twin. The implementation of a digital twin presents companies with major challenges, as the necessary skills are often not represented within the company. The focus on sustainability issues adds to the complexity. The aim of this thesis is therefore to develop a practical framework that supports companies in the implementation of digital twins as part of the twin transition to advance the digital and sustainable transformation in the industry. The framework is created by applying the Design Science Research approach.
Original languageGerman (Austria)
QualificationMaster
Awarding Institution
  • Johannes Kepler University Linz
Supervisors/Reviewers
  • Krumay, Barbara, Supervisor
Publication statusPublished - 2025

Fields of science

  • 502050 Business informatics
  • 509004 Evaluation research
  • 502007 E-commerce
  • 301401 Brain research
  • 503008 E-learning
  • 502058 Digital transformation
  • 509026 Digitalisation research
  • 303026 Public health
  • 102 Computer Sciences
  • 502032 Quality management
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 502030 Project management
  • 502014 Innovation research
  • 102006 Computer supported cooperative work (CSCW)
  • 502044 Business management
  • 502043 Business consultancy
  • 102016 IT security
  • 301407 Neurophysiology
  • 102015 Information systems
  • 501030 Cognitive science
  • 305909 Stress research

JKU Focus areas

  • Digital Transformation

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