Date of Award
Master of Science
Department of Systems Engineering and Management
Thomas Ford, PhD
The purpose of this research is to develop a model-based approach to intelligence forecasting of a competitor’s system. This analysis currently uses a document-based practice to capture all knowledge of the forecast and its development. A framework of antithesis processes, or Anti-Processes, were derived from the systems engineering technical processes. This was then combined with analytical tradecraft from the field of competitive technical intelligence to build a SysML reference model, which was then applied to a small case study to enhance and refine the model. The Anti-Process framework and SysML reference model provide a rigorous, model-based approach to intelligence forecasts of competitor’s systems.
DTIC Accession Number
Del Vecchio, Christopher A., "Developing a Model-Based Approach to Forecast a Competitor's System" (2022). Theses and Dissertations. 5488.