Robert S. Tripp

Integrated logistics planning for the air and space expeditionary force

The shift to a US Air Force structured for expeditionary operations has presented the Air Force with a number of challenges in planning, executing, and support operations involving resources such as munitions, fuel, engines, avionics, and war reserve material. In an expeditionary world, the logistics support processes must be capable of responding to rapidly deployed forces, either by deploying along with the fighting units or by connecting support processes in permanent locations to the remote forces. In this paper, we present a general approach for reshaping logistics processes to meet Air Force expeditionary operational goals. We develop capability-based logistics models consisting of rules and algorithms that compute process timelines and requirements for material, equipment, and personnel. We use both optimization and heuristic techniques to formulate a location–allocation solution that can further refine the process.

A simulation model for the analysis of end-to-end support of unmanned aerial vehicles

The role of unmanned aerial vehicles (UAVs) in intelligence, surveillance, reconnaissance, and time-critical targeting in operations Enduring Freedom and Iraqi Freedom confirmed their utility in US combat operations. However, because of an acquisition strategy intended to field UAVs as quickly as possible, the Air Force did not go through the usual processes of determining system requirements before design and production. These processes typically reveal important information about how to support aircraft systems. Without this information, the requirements for long-term, end-to-end support of UAVs are unclear. In this paper, we present an analysis of support options for current US Air Force UAV systems, including the Global Hawk, Predator, Pointer, Raven, Force Protection Airfield Surveillance System (FPASS), and Battlefield Air Targeting Camera Autonomous Micro-Air Vehicle (BATCAM), as well as, the Unmanned Combat Aerial Vehicle (UCAV). There is a trade-off between the need to field aircraft quickly and the need to determine logistics requirements. We have developed a new analytical tool, logistics implications capabilities assessment model (LICAM), that could help logisticians examine such trade-offs. LICAM simulates changes in fielding, operations, and support and evaluates how they affect a key operational metric, the ability of the UAVs to cover the target area.