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Industry 4.0 ScienceIndustry 4.0 Science
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    Cart
    • × Optimizing Production Processes with AI-based Knowledge TransferOptimizing Production Processes with AI-based Knowledge Transfer 
      1 × 29,00 €
    • × Sustainability as a Logistic Challenge: Potentials and BarriersSustainability as a Logistic Challenge: Potentials and Barriers 
      1 × 29,00 €
    • × Gas Turbines for a High Energy EfficiencyGas Turbines for a High Energy Efficiency 
      1 × 29,00 €
    • × Open innovative Ecosystems for IoTOpen innovative Ecosystems for IoT 
      1 × 29,00 €
    • × Data Mining Methods in Production LogisticsData Mining Methods in Production Logistics 
      1 × 29,00 €
    • × Information Management in Logistics with Wearable ComputingInformation Management in Logistics with Wearable Computing 
      1 × 29,00 €
    • × Green Factory Bavaria in AugsburgGreen Factory Bavaria in Augsburg 
      1 × 29,00 €
    • × Barriers of the Indian Market for Renewable EnergiesBarriers of the Indian Market for Renewable Energies 
      1 × 29,00 €
    • × Digital Transformation of Business ModelDigital Transformation of Business Model 
      1 × 29,00 €
    • × Sustainable Cooperation in Logistics NetworksSustainable Cooperation in Logistics Networks 
      1 × 29,00 €
    • × Sustainable HR ManagementSustainable HR Management 
      1 × 29,00 €
    • × Business Process Analysis and Knowledge Management using Social NetworksBusiness Process Analysis and Knowledge Management using Social Networks 
      1 × 29,00 €
    • × Product-Related Services and Management AccountingProduct-Related Services and Management Accounting 
      1 × 29,00 €

    Subtotal: 377,00 €

    incl. 7% VAT: 24,66 €

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  • I4S+
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Autor: Christoph Papenfuss

Is Predictive Maintenance the Killer App for IIoT?

Is Predictive Maintenance the Killer App for IIoT?

Christoph Papenfuss
Predictive, or condition-based, maintenance is a shining goal for industrial customers and the Industrie 4.0 initiative. Supplementing, or even replacing, inefficient schedule-based maintenance with software promises to reduce equipment failures and unplanned downtime, improve safety and ultimately help the bottom line in an era of unstable prices and uncertain budgets. Predictive maintenance might be taking longer than expected, but in the next five years you might see it move faster than expected.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 2 | Pages 57-60
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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
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  • Journal
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