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Modeling and Optimization of Manufacturing Process Performance using Modelica Graphical Representation and Process

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Summary

This study introduces a new method for optimizing manufacturing processes using Modelica and Process Analytics Formalism. It enables engineers to intuitively model, solve, and receive recommendations for process improvements.

Keywords:
Graphical User InterfaceManufacturing ProcessOptimizationProcess Analytics

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Area of Science:

  • Manufacturing Engineering
  • Computational Science
  • Operations Research

Background:

  • Manufacturing processes require sophisticated performance modeling and optimization for efficiency.
  • Existing methods may lack intuitive interfaces for process engineers.
  • Integration of simulation and optimization tools is crucial for advanced manufacturing.

Purpose of the Study:

  • To develop and demonstrate a design methodology for performance modeling and optimization of manufacturing processes.
  • To enable manufacturing users to intuitively formulate process performance models.
  • To provide automated, actionable recommendations for process improvement.

Main Methods:

  • Utilized Modelica simulation tool as a graphical user interface for problem formulation.
  • Employed the Process Analytics Formalism (PAF) to bridge Modelica classes and an optimization solver.
  • Developed a prototype system with Modelica/PAF libraries and a translator to mathematical programming models.

Main Results:

  • Demonstrated a prototype system capable of translating Modelica models to optimization problems.
  • Successfully integrated simulation (Modelica) with optimization solvers via PAF.
  • Validated the methodology's potential for intuitive process modeling and automated recommendations.

Conclusions:

  • The developed methodology and prototype system facilitate intuitive performance modeling for manufacturing engineers.
  • The integration of Modelica and Process Analytics Formalism enables optimization-based solutions for manufacturing challenges.
  • This approach empowers users to derive actionable recommendations for manufacturing process enhancement.