A Mean Value Analysis Heuristic for Analysis of Aircraft Sortie Generation
Abstract
The primary objective of this study was to develop an analytical methodology based on the Mean Value Analysis algorithm that approximates the performance characteristics of a queueing network model (QNM) containing a fork- join queue with probabilistic branching. These performance characteristics are response time, throughput and queue length at each station. The QNM solved contains the essential features of the aircraft sortie generation process. The sensitivity of the method's accuracy to increases in server utilization was determined. The comparisons of the results of the MVA heuristic to the outputs of the Logistics Composite Model (LCOM) simulation indicate that the heuristic's accuracy decreased as server utilization increases. When server utilization was kept in realistic ranges, the results of the heuristic for a single fork-join queue were very accurate. For non-maintenance stations, results were within 1 to 2 percent of the LCOM simulation output. For stations on the fork-join queue paths, heuristic results were within 5 percent of the LCOM simulation's output for that portion of the network. Queueing theory, Queueing network models, Fork- join queue aircraft sortie generation, Maintenance manpower.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1994
- Accession Number
- ADA278578
Entities
People
- Richard C. Jenkins
Organizations
- Air Force Institute of Technology