Theater Multi-Mission Planner Navy SBIR FY2016.1 Sol No.: Navy SBIR FY2016.1 Topic No.: N161-042 Topic Title: Theater Multi-Mission Planner Proposal No.: N161-042-0377 Firm: Sonalysts, Inc. 215 Parkway North P.O. Box 280 Waterford, Connecticut 6385 Contact: John Dickmann Phone: (401) 849-0400 Web Site: http://www.sonalysts.com Abstract: Navy TASWCs face increasing operational demands with fewer platforms, more challenging targets, and more capable threats. This creates a difficult resource allocation problem inside a tightly coupled and labor intensive planning process. Coupled with complex risk assessment largely based on planner heuristics, this situation is a recipe for overloaded planners, hastily cobbled together plans, limited exploration of alternative Courses of Action (COAs), and poor risk assessment. The main goal of this SBIR proposal is to develop a set of tools that will assist planners to better explore the operational design trade-space and assess risk in candidate COAs, with the goal of achieving the best possible allocation of resources to missions. Sonalysts proposes to leverage TASW planners' expert knowledge by combining multi-objective optimization with Fuzzy Logic (FL) tools using a proprietary machine learning method that will be implemented in an automated risk assessment and resource allocation TASW planning tool. Automation of complex resource allocation and providing a transparent risk assessment tool can free TASW planners' attention from the minutia of planning, and allow them to focus more critically on understanding and managing risk and risk performance tradeoffs. This will be the first step in increasing automation in the TASW planning capability. Benefits: The problem of resource allocation under multiple constraints is pervasive across government, industry, and non-profit organizations. It is applied to technical system design, management of complex projects and programs, budget allocation, and operational decisions. There is virtually no aspect of modern life that is not impacted by this problem. Capturing expert knowledge and developing automated rules to assist decision makers in these decisions can achieve untold benefits in terms of recovered time and better performance. Commercial and non-defense applications range from allocation of bandwidth among competing uses, allocation of relief efforts in humanitarian disasters, and crisis response, such as cyber-attacks or factory/refinery disaster planning, such as the BP oil spill in the Gulf of Mexico. Our proposed tool will have broad applicability in government and industry. Return