Timely Decision-Making for Logistics Support

This Phase II proposal applies the optimization strategy researched and developed from Phase I. The research conducted in Phase I defined optimization strategies for use within logistical planning models that focused on resource usage against resource availability within a dynamic environment where the commander’s priorities are ever changing. The GCALS tool allows sustainment to be re-prioritized and re-sequenced for movement depending on its criticality as determined by the dynamics of the operational environment. This will result in a more optimized transportation flow and save significant costs to the using customer. Since the optimization strategy developed within Phase I applies to all global planning projects, the resulting scheduled channels will be directly related to the situational awareness of blue forces and which ports of support will be used for logistical support. As input is received from a Distributed Simulation Network, the logistical planning models are updated with transportation network capacities based on multiple simulation runs for multiple nodes. The GCALS tool is then used to re-prioritize and re-sequence sustainment flow. The logistical models are then run to create an updated version of schedules that DPRA refers to as a “rolling forecast” of the delivery profile.