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digital shop floor management

Assistance Systems Through Natural Language Processing

Assistance Systems Through Natural Language Processing

Implementation strategies for the shop floor
Marvin Müller, Joachim Metternich
The future of shop floor management (SFM) lies in its digitization. The visualization of key performance indicators is already supported by various providers or set up by companies themselves to save time. But particularly valuable in SFM is the sustainable problem solving, which contains the knowledge of the employees in text. Therefore, approaches from Natural Language Processing (NLP) are applied to these text data to realize assistance functions. This article provides situation-specific implementation strategies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 11-14 | DOI 10.30844/I40M_21-6_S11-14
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  • 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
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    • Annual Table of Contents
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