Date of Award


Document Type


Degree Name

Master of Science


Department of Electrical and Computer Engineering

First Advisor

Edward F. Mykytka, PhD


This study investigates the application of statistical process control methods to monitoring the performance of a communication network. The methods applied include four different types of control charts. The literature search uncovered only one previous study that used a control chart to monitor a communication network. Using a case study of a communication network, four important issues for proper control chart usage are emphasized. These issues are: proper data collection rate due to autocorrelation, proper subgrouping of the data, ensuring that count data conforms to the assumptions of the binomial probability model before implementing p or np control charts, and viability of using subgroups of aftribute data as measurement data on an x-bar chart. The results indicate that control charts are indeed a viable method for monitoring a communication network's performance over time, especially when the available data on the network is limited.

AFIT Designator


DTIC Accession Number