Graduation Year
2018
Document Type
Thesis
Degree
M.S.I.E.
Degree Name
MS in Industrial Engineering (M.S.I.E.)
Degree Granting Department
Industrial and Management Systems Engineering
Major Professor
Devashish Das, Ph.D.
Committee Member
Susana K. Lai-Yuen, Ph.D.
Committee Member
Mingyang Li, Ph.D.
Committee Member
Michael Weng, Ph.D.
Keywords
CUSUM Charts, Jackson's networks, Queuing analysis, Markov Chain Statistical Process Control
Abstract
Queuing systems are important parts of our daily lives and to keep their operations at an efficient level they need to be monitored by using queuing Performance Metrics, such as average queue lengths and average waiting times. On the other hand queue lengths and waiting times are generally random variables and their distributions depend on different properties like arrival rates, service times, number of servers. We focused on detecting the change in service rates in this report. Therefore, we monitored queues by using Cumulative Sum(CUSUM) charts based on likelihood ratios and compared the Average Run Length values of different service rates.
Scholar Commons Citation
Kaya, Yaren Bilge, "Statistical Monitoring of Queuing Networks" (2018). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/7534
