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Knowledge Engineering

Knowledge-based Order Processing in Supply Chain Management with Multi-Agent Systems

Knowledge-based Order Processing in Supply Chain Management with Multi-Agent Systems

Bernd Scholz-Reiter ORCID Icon, Hartmut Höhns
The design and implementation of knowledge-based control systems is always a major challenge, especially if a maximum realistic approach is pursued. Especially, adequately handling large scale, real world problems, often confronts the concerned project members with insolvable tasks. This article outlines the mutual basis of knowledge management and knowledge engineering plus the challenges en route to acquisition. Solutions to formalise needed knowledge are proposed against the backdrop of a currently running research project in the field of supply chain management with multi-agent systems.
Industrie Management | Volume 19 | 2003 | Edition 3 | Pages 26-29
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    • Sustainability
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    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
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  • 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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