Skip to content
  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • German
  • Login / Register
  • Cart / 0,00 € 0
    • No products in the cart.

      Return to shop

  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • German
Industry 4.0 ScienceIndustry 4.0 Science
  • 0
    Cart

    No products in the cart.

    Return to shop

  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • German

technology migration

Introduction of Digital Twins

Introduction of Digital Twins

Development of a procedure for technology migration
Markus Kreutz, Michael Lütjen ORCID Icon, Michael Freitag ORCID Icon
The digital twin is well on the way to becoming an elementary part of the corporate world. Corporate leaders hope that these intelligent images of an increasingly dynamic corporate reality will significantly reduce complexity. Ideally, model-based analyses and (partially) automated decisions using methods of simulation technology and artificial intelligence based on optimized IoT data management can make their contribution to corporate agility. In addition to the definition of terms/concepts, the paper will discuss current challenges and present various examples of their application. Based on these ideas, a process model for the introduction of digital twins in terms of technology migration will be presented.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 4 | Pages 40-44
  • About GITO
  • Factory Innovation
  • ERP Management
  • GITO Events
  • AIS Transactions on Enterprise Systems
  • Our Partners
  • FAQ for Readers
  • Cancel Subscription
  • Media Data
  • Newsletter
  • Become an Author
  • Editorial Process
  • Open Access by GITO
  • Publication Ethics
  • Contact
Visa
MasterCard
PayPal
  • Imprint
  • Cookie Policy
  • Data Privacy Policy
  • General Terms and Conditions (T&C)
Copyright 2026 © GITO
  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • German
  • Login / Register
  • German