Artificial Intelligence & Machine Learning

SYNOPSES OF PROPOSED CONTRACT ACTION IAW FAR 5.201 - PROPOSALS ARE NOT REQUESTED AT THIS TIME. General Information Document Type: Synopses Proposed Solicitation Number: FA8109-19-R-0005 Posted Date: 09-Sep-2019 Product or Service Code: B506 Subject Artificial Intelligence & Machine Learning Set Aside: N/A NAICS Code: 541511 Contract Specialist and Contracting Office Address Joshua Taft Joshua.Taft@us.af.mil 3001 Staff Drive Suite 1AD297E Tinker AFB, OK 73145 Description This solicitation will be for a sole source acquisition under Federal Acquisition Regulation (FAR) 6.302-1, Only One Responsible Source and No Other Supplies or Services will satisfy agency requirements. The associated North American Industrial Classification System (NAICS) code for this procurement is 541511, with a small business size standard of $30.0 Million. The duration of this effort will include a one (1) year base period with two (2) one-year option periods. The contractor will be required to provide non-commercial advisory and assistance services (A&AS) for 448th Supply Chain Management Wing, located at Tinker Air Force Base (TAFB), OK. The Contractor shall provide analysis of supply chain data for the Air Force Sustainment Center. Included in this effort shall be the application of artificial intelligence methods to address complex and difficult problems impeding the 448 SCMW. The Contractor shall deploy original prototype data and analytical models into a production environment for visualization and analysis and will create additional production models for 448th consumption. This contract shall include the implementation of the solution, integration with select Air Force (AF) data sets, and testing in accordance with Key Performance Indicators. Utilization of artificial intelligence tools with supply chain data to: Identify leading indicators within historical demand patterns that predict future demand patterns that predict future demand patterns, stock-outs, back orders, and Mission Impaired Capability Awaiting Parts (MICAPs). Compare, contrast, and rank all leading indicators against each other and the existing eight quarter moving average. Analyze repair work patterns to identify different repair tasks that could be combined into a single work package to improve reliability, extend mean time between failure and mean time between demands, and minimize life cycle costs.