Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets Navy SBIR FY2018.1 Sol No.: Navy SBIR FY2018.1 Topic No.: N181-055 Topic Title: Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets Proposal No.: N181-055-0418 Firm: Vadum 601 Hutton St STE 109 Raleigh, North Carolina 27606 Contact: Roger Boyer Phone: (919) 341-8241 Web Site: http://www.vaduminc.com Abstract: Vadum will develop a suite of algorithms that generate optimal engagement scheduling for the Aegis Weapons System (AWS) when faced with threats arriving in a swarm or raid. The Prediction, Optimization and Scheduling of System Engagements (POSSE) system will analyze kinematic profiles of threats attacking in raids or swarms, generate candidate Predicted Intercept Points (PIP), and produce an optimal engagement schedule that deconflicts mutually obscuring PIPs, avoids environmental obscuration from sea clutter, and maximizes overall engagement success. Benefits: Recent increases in both the lethality of airborne threats and the numbers in which threats can be employed have driven the need for the Aegis Combat System (ACS) to improve defensive capabilities and expending its missile inventory judiciously. Airborne threats arriving in swarm or raids threaten to deplete the number of missiles available to ACS during engagement. The purpose of POSSE is to take a holistic view of the engagement �?" anticipated Probability of Kill (Pk) for each PIP, potential threat obscuration throughout engagement due environment of post-intercept debris, risk due to early or late shot �?" and generates a globally optimal engagement schedule that maximizes overall engagement success. Return