Strategic customer behaviour in queuing systems with general service times

Postgraduate Thesis uoadl:2857977 771 Read counter

Unit:
Κατεύθυνση Στατιστική και Επιχειρησιακή Έρευνα
Library of the School of Science
Deposit date:
2019-02-11
Year:
2019
Author:
Κασιμάτης Βασίλειος
Supervisors info:
Αντώνης Οικονόμου, Καθηγητής τμήματος Μαθηματικών
Original Title:
Strategic customer behaviour in queuing systems with general service times
Languages:
English
Translated title:
Strategic customer behaviour in queuing systems with general service times
Summary:
The thesis deals with changes of M/G/1 queue and our goal is to calculate the equilibrium probabilities through recursive schemes and the study of strategic behaviour of the customers. In the analysis of each model, firstly we decompose the system into subsystems, after we equate the ''in'' and ''out'' rates at each sate, and finally, we use the Little's law and the normalization equation in order to find the recursive shceme. The use of basic lemmas is necessary for taking the basic result for the equilibrium probability. For the M/G/1 queue, we quote the basic result of the equilibrium probability. Moreover, we study the M/G/1/1 queue with orbit, where a customer, who finds the server busy, joins the orbit and the M/G/1 queue with k-policy, where the server is activated only when the cumulative number of customers exceeds some
predetermined threshold k. In both models, using the previous technique, we calculate the equilirium probability, recursively. Furtermore, we study the strategic customer behaviour of customers, characterising the equilibrium joining probabilities with which a customer joins the system, taking into account the maximization of his profit.
Main subject category:
Science
Keywords:
customer, queue, probability, strategy, profit, distribution, system
Index:
Yes
Number of index pages:
2
Contains images:
No
Number of references:
3
Number of pages:
104
File:
File access is restricted only to the intranet of UoA.

general service time.pdf
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File access is restricted only to the intranet of UoA.