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Modeling and Optimization of Manufacturing Process Performance using Modelica Graphical Representation and Process Analytics Formalism.
Journal of Intelligent Manufacturing ( IF 8.3 ) Pub Date : 2015-12-17 , DOI: 10.1007/s10845-015-1178-6
Guodong Shao 1 , Alexander Brodsky 2 , Ryan Miller 3
Affiliation  

This paper concerns the development of a design methodology and its demonstration through a prototype system for performance modeling and optimization of manufacturing processes. The design methodology 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 the National Institute of Standards and Technology, serves 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.

中文翻译:

使用 Modelica 图形表示和流程分析形式对制造流程性能进行建模和优化。

本文涉及设计方法的开发及其通过性能建模和制造工艺优化原型系统的演示。该设计方法使用 Modelica 仿真工具作为图形用户界面,供制造领域用户(例如工艺工程师)制定他们的问题。过程分析形式主义由美国国家标准技术研究所开发,充当 Modelica 类和商业优化求解器之间的桥梁。原型系统包括 (1) 使用 Modelica 和过程分析形式主义创建的制造模型组件库,以及 (2) 将 Modelica 类转换为过程分析形式主义的转换器,然后将其编译为数学编程模型并使用优化进行求解求解器。本文提供了一项实验,旨在使制造用户能够直观地制定流程性能模型,使用基于优化的方法解决问题,并自动获得可行的建议。
更新日期:2019-11-01
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