SHARP: High Velocity Maintenance Smart OverHaul and Repair

21st Century Technologies (21CT) proposes SHARP, a planning capability for dynamic resource management in work scope optimization for High Velocity Maintenance (HVM). SHARP is based on past 21CT efforts in dynamic and optimal resource allocation, using our ATO-Stream technologies. The ATO-Stream technologies solve planning problems similar to those encountered in work scope optimization, strategic logistics and prognostic logistics, all needs in HVM. The generic planning capability is made possible in the way that ATO-Stream was architected from the start – with an adaptable architecture to solve resource allocation problems in domains other than just ATO planning. Dynamic resource management is accomplished with algorithms that immediately account for and continuously re-plan to address changes in the environment. Both the planning architecture and the resource management algorithms serve as the engine for ATO-Stream, which we refer to as X-Stream. X-Stream has now been used in various environments and will serve as an ideal foundation for the SHARP effort by modeling all the relevant information that needs resource management: e.g. equipment, resources, requirements, repair methods, time and schedules. The X-stream framework will then provide the capability to continuously update schedules and plans in real time and adapt to a changing environment. BENEFIT: SHARP provides an effects-based perspective of planning and scheduling logistics. It will account for loss of institutional knowledge by fusing knowledge from existing expert systems, automatically account for disruptions in the supply chain, such as unscheduled maintenance, and improve forecasting accuracy for scheduling and parts availability, leading to additional tactical and strategic benefits. Tactical Benefit – Aircraft availability increases, while average time and effort for repairs decrease. Strategic Benefit – Savings in time, energy and cost. SHARP produces efficient work optimization that bunches up energy intensive tasks, schedules for symbiotic tasks, or time slot scheduling for lower power rates.