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Massachusetts Institute of Technology

Guidelines for the design of flexibility in queueing systems : model, measures, and analysis

Abstract

dc:description.abstract

(cont.) have a relatively limited impact on throughput and overall utilization measures when compared to strategic flexibility design parameters such as the assignment of long-term job responsibilities to servers. However, we show that this influence on performance is significant enough that various flexibility design alternatives are better compared after taking into account the control policy that will be used to operate the system. Furthermore, and motivated by the recent interest in revenue management techniques for operational systems, we show that such operational control policies can have disproportionate influence on revenue and cost measures of performance; this fact further underscores the importance of having such models, measures, and analytical tools to examine various system design alternatives for improving performance.

Degree

thesis:*
Department dc:contributor.department
Sloan School of Management.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gurumurthi, Suryanarayanan, 1975-
Advisor dc:contributor.advisor
  • Stephen C. Graves.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/28683
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/28683

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Gurumurthi, Suryanarayanan, 1975-. Guidelines for the design of flexibility in queueing systems : model, measures, and analysis. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28683