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PUBLICATIONS

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

Published

Author(s)

Guodong Shao, Alexander Brodsky, Ryan Miller

Abstract

This paper concerns the design and development of a prototype system for performance modeling and optimization of manufacturing processes. The prototype system uses a Modelica simulation tool serving as the graphical user interface for manufacturing domain users such as process engineers to formulate their problems. The Process Analytics Formalism, developed at NIST, serving as a bridge between the Modelica classes and a commercial optimization solver. The prototype system includes (1) manufacturing model components’ libraries created by using Modelica and the Process Analytics Formalism, and (2) a translator of the Modelica classes to Process Analytics Formalism, which are then compiled to mathematical programming models and solved using an optimization solver. This paper provides an experiment toward the goal of enabling manufacturing users to intuitively formulate process performance models, solve problems using optimization-based methods, and automatically get actionable recommendations.
Citation
Journal of Intelligent Manufacturing
Pub Type
Journals

Keywords

Smart Manufacturing System, Graphical User Interface, Model Library, Optimization
Manufacturing, Interoperability in manufacturing and Manufacturing systems design and analysis

Citation

Shao, G. , Brodsky, A. and Miller, R. (2015), Modeling and Optimization of Manufacturing Process Performance using Modelica Graphical Representation and Process Analytics Formalism, Journal of Intelligent Manufacturing (Accessed October 13, 2025)

Issues

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Created December 19, 2015, Updated February 19, 2017
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