Adaptive Distributed Allocation of Probabilistic Tasks (ADAPT)

Logistic operations for all branches of the military have historically been a guessing game relying on the intuition and past experience of the responsible officials. Unfortunately, this strategy often means that resources are deployed prematurely to areas that do not have an immediate need, thereby denying those assets to other areas that could have used them immediately. Worse, resources can also be deployed late, past the time in which they can be used. By formulating a systematic method to schedule resource allocation for shared resources, these inefficiencies can be eliminated. Aptima proposes to develop Adaptive Distributed Allocation of Probabilistic Tasks (ADAPT), to approach this allocation problem using a decentralized dynamic adaptive planning technique. This solution will take uncertainty, risk, and networked resources into account during its resource assignments for mission needs. ADAPT will develop and test our resource assignment scheduling algorithm, to identify the most robust allocation schedule that meets the user identified needs, priorities, and preferences of the missions. This optimization will take several factors into account such as mission priority, fit of resource functionality to requested need, and time delay between request and fulfillment of resource need.