TY - JOUR
T1 - A Conceptual Modeling and Simulation Framework for System Design
AU - Coatanéa, Eric
AU - Roca, Ric
AU - Mokhtarian, Hossein
AU - Mokammel, Faisal
AU - Ikkala, Kimmo
PY - 2016/7/1
Y1 - 2016/7/1
N2 - This article presents the dimensional analysis conceptual modeling (DACM) framework, intended as a conceptual modeling mechanism for lifecycle systems engineering. DACM is a novel computer-aided method originally developed for military projects, but it's now available for other applications, too. The DACM framework is a powerful approach for specifying, discovering, validating, and reusing building blocks as well as analyzing system behavior in early development stages. This framework is based on dimensional analysis combined with causal graphs to represent the interactions and interdependencies among system variables. The framework's algorithms are codified into software applications to facilitate its use. This article provides a practical presentation of the steps that encompass the transformation from problem to solution space, key system variables extraction, causal ordering, clustering of variables, and qualitative analyses. The authors provide two examples that cover in detail the DACM's mathematic machinery for deriving a system's behavioral laws from a causal graph. The entire DACM approach is supported by a computer-based application that integrates all the steps of the framework presented in this article.
AB - This article presents the dimensional analysis conceptual modeling (DACM) framework, intended as a conceptual modeling mechanism for lifecycle systems engineering. DACM is a novel computer-aided method originally developed for military projects, but it's now available for other applications, too. The DACM framework is a powerful approach for specifying, discovering, validating, and reusing building blocks as well as analyzing system behavior in early development stages. This framework is based on dimensional analysis combined with causal graphs to represent the interactions and interdependencies among system variables. The framework's algorithms are codified into software applications to facilitate its use. This article provides a practical presentation of the steps that encompass the transformation from problem to solution space, key system variables extraction, causal ordering, clustering of variables, and qualitative analyses. The authors provide two examples that cover in detail the DACM's mathematic machinery for deriving a system's behavioral laws from a causal graph. The entire DACM approach is supported by a computer-based application that integrates all the steps of the framework presented in this article.
KW - conceptual modeling
KW - data analysis
KW - design support
KW - discrete simulation tools
KW - modeling and simulation
KW - reuse models
KW - scientific computing
KW - software engineering
KW - solution development
KW - solution modeling
KW - systems specification methodology
UR - http://www.scopus.com/inward/record.url?scp=84977100919&partnerID=8YFLogxK
U2 - 10.1109/MCSE.2016.75
DO - 10.1109/MCSE.2016.75
M3 - Article
AN - SCOPUS:84977100919
VL - 18
SP - 42
EP - 52
JO - COMPUTING IN SCIENCE AND ENGINEERING
JF - COMPUTING IN SCIENCE AND ENGINEERING
SN - 1521-9615
IS - 4
M1 - 7499786
ER -