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  • I4S+
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Autor: Antonio Álvaro de Assis Moura

Federative Factory Data Management

Federative Factory Data Management

Reiner Anderl, Christian Mosch, Klaus Schützer, Antonio Álvaro de Assis Moura
Due to shorter product life cycle and increasing variants of products manufacturing companies have to be flexible in factory structures. Flexibility of factory structures is based on defined factory planning processes considering product, process and resource data resulting from various disciplines and isolated IT tools. Thus factory planning processes can be characterized as iterative, interdisciplinary and participative pro-cesses. To enforce the interdisciplinary and participative character, a federative factory data management (FFDM) as an integrative solution will be described. Product, process and resource data will be provided by web services resulting in acceleration of factory planning pro-cesses due to reduced redundancy, inhomogeneity and inconsistence in data holding.
Industrie Management | Volume 27 | 2011 | Edition 2 | Pages 69-72
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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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    • Resource Efficiency
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