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Autor: Patrick Oetjegerdes

Iterative Optimization-based Simulation

Iterative Optimization-based Simulation

Decision Support for Adjustments in Complex Production and Logistics Systems
Patrick Oetjegerdes ORCID Icon, Christian Weckenborg ORCID Icon, Thomas S. Spengler
Simulation is frequently used for prediction of the outcome of adjustments in production systems. Real decision processes must be represented in the simulation. To achieve this, complex real decision processes have to be transferred into the simulation. This leads to a high effort for the creation of simulation models. This is resolved by the concept of iterative optimization-based simulation. Instead of transferring complex decision processes into the simulation, the predicted parameters are exported and existing decision processes determine a solution.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 1 | Pages 63-66 | DOI 10.30844/I40M_21-1_S63-66
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  • I4S+
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  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
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    • Process Management
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  • Tools
    • Additive Manufacturing
    • Analytics
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    • Blockchain
    • Modularization
    • Training
    • Robotics
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    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
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    • SME
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    • Current Issue
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