Fuzzy control of queueing systems with removable servers

We consider queueing systems in which the number of servers is the controlled variable. The cost structure includes service cost, switching cost and holding cost. The objective is to adjust the number of servers dynamically based on the state of the system so as to minimize the average cost over an...

Full description

Saved in:

Bibliographic Details
Published in:	Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics Vol. 3; pp. 2160 - 2165 vol.3
Main Authors:	Ruutong Zhang, Phillis, Y.A., Xiaomin Zhu
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 1998
Subjects:	Analytical models Control systems Costs Engineering management Fuzzy control Fuzzy logic Infinite horizon Management information systems Optimal control Production systems
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	We consider queueing systems in which the number of servers is the controlled variable. The cost structure includes service cost, switching cost and holding cost. The objective is to adjust the number of servers dynamically based on the state of the system so as to minimize the average cost over an infinite horizon. In this paper, a novel approach is presented using fuzzy control to solve this classical problem. Two cases, M/M/1 and M/M/m queueing systems with vacations, are studied in detail. Simulation shows that this new approach is efficient and promising, especially in cases where analytical solutions do not exist.
Bibliography:	SourceType-Scholarly Journals-2 ObjectType-Feature-2 ObjectType-Conference Paper-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Article-3
ISBN:	9780780347786 0780347781
ISSN:	1062-922X 2577-1655
DOI:	10.1109/ICSMC.1998.724974