Modeling Sortie Generation for Unit-Level Logistics Planners
Abstract
This research demonstrates that simulation can provide valuable information for decision-making at the unit level as well as much needed assistance in the generation and execution of a weekly flying schedule. In previous research, the authors developed a simulation model detailing an Air Force Multi-Indenture Multi-Echelon (MIME) repairable parts system. They used that simulation model to explore the effects of using commercial shipping practices on the supply chain. This research expands the simulation model developed for the commercial transportation project to detail the sortie generation process. Using this simulation, the authors evaluate the effective risk inherent in a given weekly sortie schedule. The concept allows unit-level logistics planners to input a weekly schedule and to evaluate that schedule based on outputs received from the simulation. A model of this type also allows unit-level logistics planners to compare alternative schedules and perform "what-if" analyses. The research began with a review of the relevant literature, systems, and processes. Part of the goal was to illustrate how simulation could be used in this context. The authors provide a detailed description of the simulation model, the user interface system, and data handling methods. Finally, they outline a test scenario and describe how the model handles this scenario from user input to interpretation of the output data. Examples of "what-if" analysis that can be performed using the same test scenario also are presented. Through the execution of this test scenario, the research demonstrates how this type of simulation technology can be useful in making decisions at the unit level. The outputs will provide the user valuable assistance in making timely decisions that can mitigate the risk associated with executing a flying schedule.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2005
- Accession Number
- ADA452087
Entities
People
- Joshua B. Mcgee
- Manuel D. Rossetti
- Raymond R. Hill
- S Narayanan
- Todd Hausman
Organizations
- University of Arkansas