When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities

作者：Dori Dov; Renick Aharon; Wengrowicz Niva^*

来源：Research in Engineering Design, 2016, 27(2): 141-164.

DOI：10.1007/s00163-015-0209-9

• Model-based systems engineering
• Object-Process Methodology
• MATLAB
• Simulink
• Modeling and simulation
• Conceptual modeling

Conceptual modeling is an important initial stage in the life cycle of engineered systems. It is also highly instrumental in studying existing unfamiliar systems-the focus of scientific inquiry. Conceptual modeling methodologies convey key qualitative system aspects, often at the expense of suppressing quantitative ones. We present and assess two approaches for solving this computational simplification problem by combining Object-Process Methodology (OPM), the new ISO/PAS 19450 standard, with MATLAB or Simulink without compromising the holism and simplicity of the OPM conceptual model. The first approach, AUTOMATLAB, expands the OPM model to a full-fledged MATLAB-based simulation. In the second approach, OPM computational subcontractor, computation-enhanced functions replace low-level processes of the OPM model with MATLAB or Simulink models. We demonstrate the OPM computational subcontractor on a radar system computation. Experimenting with students on a model of an online shopping system with and without AUTOMATLAB has indicated important benefits of employing this computation layer on top of the native conceptual OPM model.

• 出版日期2016-4
• 单位MIT