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

accuracy

Aiming to Create Green AI

Aiming to Create Green AI

Putting a focus on AI energy efficiency and minimizing the CO2 footprint of AI-based systems
Marcus Grum ORCID Icon, Maximilian Ambros ORCID Icon, Marcel Rojahn ORCID Icon
Reducing CO2 emissions is one of the most urgent tasks of our time. Simultaneously, artificial intelligence is developing rapidly. However, AI often brings about its own significant CO2 impact. Experimental testing of Green AI strategies is therefore crucial for their long-term success. A management tool can support this process so that both users and managers can make optimal use of AI as a tool.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 18-30 | DOI 10.30844/I4SE.24.6.18
Strategies for Enhancement of Accuracy in Micro Assembly Processes

Strategies for Enhancement of Accuracy in Micro Assembly Processes

Jürgen Hesselbach, Kerstin Schöttler, Sven Rathmann
For micro assembly processes, assembly accuracy in the range of one micron is required. In the following some strategies for enhancement of accuracy in micro assembly are shown by means of two different assembly systems. First, a self-developed assembly system consisting out of a parallel robot for micro assembly, a 3D vision sensor, grippers, magazines and fixtures is presented. Second, a cartesian robot that endues over a 2D vision sensor, a force sensor and a confocal laser scanning microscope is described. On the basis of examples for micro assembly processes the application limitations of both systems are depicted.
Industrie Management | Volume 21 | 2005 | Edition 6 | Pages 33-36
  • 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