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PARAMETER‐BASED REPRESENTATION FOR MODELING COMPLEX SYSTEMS
Author(s) -
Friedenthal Sanford A.
Publication year - 1995
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1995.tb01877.x
Subject(s) - idef0 , computer science , representation (politics) , process (computing) , traceability , construct (python library) , complex system , information system , data mining , systems engineering , software engineering , artificial intelligence , engineering , programming language , electrical engineering , politics , political science , law , computer integrated manufacturing
This paper describes a concept for a parameter‐based representation (PBR) to model complex systems. The representation combines features from both process and object‐oriented representations including IDEF0, data and control flows, entity relationship attribute (ERA) diagrams, and parameter flows. The parameter‐based approach provides enhanced capability over existing representations because it represents the multiple attributes of a system, including the performance, physical, design, and process parameters, and explicitly defines the relationships between them. This approach enables the systems designer to perform critical analysis and better assess the impact of design decisions and changes on the overall system performance, while maintaining design traceability. The systems engineering process provides the framework for applying PBR to construct and analyze the system model and fully describe the system. The application of a systematic approach using PBR to develop a system model will provide improved ability over current representations to capture critical systems information, analyze complex system interrelationships, and communicate the information among the development team.