|
" A Comparison of Univariate Modeling and Forecasting Techniques for Predicting ITIL Demand Management Workload up to Six Weeks Ahead "
Jr. Clavon, Dock Marshall
Eggstaff, Justin W.; Islam, Muhammed F.
| Document Type
|
:
|
Latin Dissertation
|
| Language of Document
|
:
|
English
|
| Record Number
|
:
|
804781
|
| Doc. No
|
:
|
TL49617
|
| Call number
|
:
|
1965530947; 10634212
|
| Main Entry
|
:
|
Shehabat, Ahmad M.
|
| Title & Author
|
:
|
A Comparison of Univariate Modeling and Forecasting Techniques for Predicting ITIL Demand Management Workload up to Six Weeks Ahead\ Jr. Clavon, Dock MarshallEggstaff, Justin W.; Islam, Muhammed F.
|
| College
|
:
|
The George Washington University
|
| Date
|
:
|
2017
|
| Degree
|
:
|
D.Engr.
|
| field of study
|
:
|
Engineering Management
|
| student score
|
:
|
2017
|
| Page No
|
:
|
126
|
| Note
|
:
|
Committee members: Mazzuchi, Thomas A.; Rackley, Daphne; Sarkani, Shahram
|
| Note
|
:
|
Place of publication: United States, Ann Arbor; ISBN=978-0-355-35468-3
|
| Abstract
|
:
|
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.
|
| Subject
|
:
|
Business administration; Industrial engineering; Operations research
|
| Descriptor
|
:
|
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
|
| Added Entry
|
:
|
Eggstaff, Justin W.; Islam, Muhammed F.
|
| Added Entry
|
:
|
Engineering ManagementThe George Washington University
|
| |