عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL49617
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
A Comparison of Univariate Modeling and Forecasting Techniques for Predicting ITIL Demand Management Workload up to Six Weeks Ahead
General Material Designation
[Thesis]
First Statement of Responsibility
Jr. Clavon, Dock Marshall
Subsequent Statement of Responsibility
Eggstaff, Justin W.; Islam, Muhammed F.
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The George Washington University
Date of Publication, Distribution, etc.
2017
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
126
GENERAL NOTES
Text of Note
Committee members: Mazzuchi, Thomas A.; Rackley, Daphne; Sarkani, Shahram
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-0-355-35468-3
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
D.Engr.
Discipline of degree
Engineering Management
Body granting the degree
The George Washington University
Text preceding or following the note
2017
SUMMARY OR ABSTRACT
Text of Note
The City of Atlanta is actively pursuing tools and techniques to aggressively progress their ITIL Maturity level to achieve world-class performance in IT service delivery. Currently, a methodology to accurately forecast demand management to predict future workload does not exist. This added capability will ensure more accurate staffing forecasts against service targets. IT Infrastructure Library (ITIL) has proven itself to be a reliable framework to integrate into an Information Technology Service Management (ITSM) function. Although ITIL is well-known worldwide, little academic research has been published to date about the impact of low priority service requests impact on IT service delivery. This praxis presents the applied nature of modeling univariate IT demand management data.
TOPICAL NAME USED AS SUBJECT
Business administration; Industrial engineering; Operations research
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Social sciences;City of atlanta;It infrastructure library (itil);It service management (itsm);Itil demand management;Mean-time-to-resolve (mttr);Time-series analysis
PERSONAL NAME - PRIMARY RESPONSIBILITY
Shehabat, Ahmad M.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Eggstaff, Justin W.; Islam, Muhammed F.
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Subdivision
Engineering Management
The George Washington University
LOCATION AND CALL NUMBER
Call Number
1965530947; 10634212
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
