Modeling and Optimization of Manufacturing Process Performance using Modelica Graphical Representation and Process Analytics Formalism
Guodong Shao, Alexander Brodsky, Ryan Miller
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.
Journal of Intelligent Manufacturing
Smart Manufacturing System, Graphical User Interface, Model Library, Optimization
, Brodsky, A.
and Miller, R.
Modeling and Optimization of Manufacturing Process Performance using Modelica Graphical Representation and Process Analytics Formalism, Journal of Intelligent Manufacturing
(Accessed June 6, 2023)