Date of Award

3-1-1994

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

Dennis C. Dietz, PhD

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 methods 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 heuristics 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 simulations output for that portion of the network.

AFIT Designator

AFIT-GOR-ENS-94M-07

DTIC Accession Number

ADA278578

Comments

The author's Vita page is omitted.

Download

Share

COinS