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prescriptive

The Future of Manufacturing Data Analy-tics

The Future of Manufacturing Data Analy-tics

Implications for a Successful Data Exploitation in the Manufacturing Industry
Marian Wenking, Christoph Benninghaus, Sebastian Groggert
In accordance to the study “Manufacturing Data Analytics” published by the University of St. Gallen in cooperation with RWTH Aachen in 2017, various aspects of industrial data usage are examined. Different topics such as technical systems, implementation status and organizational approaches are analysed. While some companies are still in a launching stage, other companies are already able to make predictions through comprehensive data collection and exploitation. Thereby, they can significantly improve their efficiency in production.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 4 | Pages 33-37
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  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
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    • 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
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    • Annual Table of Contents
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