Date of Award
Master of Science in Operations Research
Department of Operational Sciences
Jeffery D. Weir, PhD
The Air Force Sustainment Center assisted by the Data Analytics Resource Team and the Defense Logistics Agency collected four million contracts onto one of the Air Force Research Laboratory’s high power computers. This thesis focuses on the effort to determine if parts are available through those contracts. Some information is extracted using machine learning in combination with natural language processing. Where machine learning methods are unsuccessful or inappropriate, text mining techniques, such as pattern recognition and rules, are used. Upon completion, the information is combined into a Gantt chart for quick evaluation. Only 21% of the contracts have their information correctly extracted with this process. To provide an accurate depiction of availability for every part, an improvement is needed. The likely most effective improvement is to develop a custom NER model.
DTIC Accession Number
Butcher, Zachary E., "Contract Information Extraction Using Machine Learning" (2021). Theses and Dissertations. 5026.