A Generic, Adaptive Systems Engineering Information Model
Joseph J. Simpson
Abstract: This thesis addresses information models for systems engineering activities. Systems engineering tasks are a central set of technical management tasks used by large distributed groups of individuals to design, develop, produce, and operate large, engineered systems. In this work, standard systems engineering methods and activities are analyzed and evaluated in the context of current engineering practice. Specific methods and models used for the capture, encoding and storage of systems engineering information and artifacts are given special attention during the evaluation and analysis phase. A generic systems engineering meta-model is then developed and used as a basis for the systems engineering information models that are developed and presented in this work. The generic systems engineering meta-model developed in this work is founded on the scientific problem solving process. A unique process named CCFRAT (for the Concept, Context, Function, Requirement, Architecture and Test views that are the core system views used in this process) is developed in this work. The meta-model and process are then used as a foundation for the standard relational data modeling activities required to produce the complete logical information models that are developed in this thesis. Relational database tables and processes are developed and presented to support the capture, storage and management of systems engineering program data. Open- source, freely-available computing components were used in the development of this thesis.
A link to a PDF copy: Information Model
A link to PDF slide: Information Model Slides