When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities
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 suppress...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer London
2016
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| Online Access: | http://hdl.handle.net/1721.1/103795 https://orcid.org/0000-0002-2393-3124 |
| _version_ | 1811068948912799744 |
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| author | Dori, Dov Renick, Aharon Wengrowicz, Niva |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Dori, Dov Renick, Aharon Wengrowicz, Niva |
| author_sort | Dori, Dov |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T08:03:19Z |
| format | Article |
| id | mit-1721.1/103795 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:03:19Z |
| publishDate | 2016 |
| publisher | Springer London |
| record_format | dspace |
| spelling | mit-1721.1/1037952022-09-23T10:35:59Z When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities Dori, Dov Renick, Aharon Wengrowicz, Niva Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Dori, Dov 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. 2016-07-28T17:58:58Z 2017-03-01T16:14:49Z 2015-12 2014-03 2016-05-23T12:08:35Z Article http://purl.org/eprint/type/JournalArticle 0934-9839 1435-6066 http://hdl.handle.net/1721.1/103795 Dori, Dov, Aharon Renick, and Niva Wengrowicz. “When Quantitative Meets Qualitative: Enhancing OPM Conceptual Systems Modeling with MATLAB Computational Capabilities.” Research in Engineering Design 27.2 (2016): 141–164. https://orcid.org/0000-0002-2393-3124 en http://dx.doi.org/10.1007/s00163-015-0209-9 Research in Engineering Design Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Springer-Verlag London application/pdf Springer London Springer London |
| spellingShingle | Dori, Dov Renick, Aharon Wengrowicz, Niva When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities |
| title | When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities |
| title_full | When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities |
| title_fullStr | When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities |
| title_full_unstemmed | When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities |
| title_short | When quantitative meets qualitative: enhancing OPM conceptual systems modeling with MATLAB computational capabilities |
| title_sort | when quantitative meets qualitative enhancing opm conceptual systems modeling with matlab computational capabilities |
| url | http://hdl.handle.net/1721.1/103795 https://orcid.org/0000-0002-2393-3124 |
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