Schedule Analytics

Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/1332

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DC Field	Value	Language
dc.contributor.author	Jennifer Manring
dc.contributor.author	Thomas Fugate
dc.date.accessioned	2020-03-16T17:51:59Z	-
dc.date.available	2020-03-16T17:51:59Z	-
dc.date.issued	2016-05-05
dc.identifier.citation	Published--Unlimited Distribution
dc.identifier.uri	https://dair.nps.edu/handle/123456789/1332	-
dc.description	Acquisition Management / Defense Acquisition Community Contributor
dc.description.abstract	The purpose of this research was to help strengthen the acquisition community's ability to produce data-driven realism in program schedules. This research effort had three main focus areas: (1) compile schedule data from programs to identify key schedule drivers and characteristics and build a data repository, (2) analyze the data from statistical and qualitative perspectives, and (3) document data collected and analysis performed, and how it can be accessed for analysis.
dc.description.sponsorship	Acquisition Research Program
dc.language	English (United States)
dc.publisher	Acquisition Research Program
dc.relation.ispartofseries	Data Analysis
dc.relation.ispartofseries	SYM-AM-16-028
dc.subject	Program Schedules
dc.subject	Data
dc.title	Schedule Analytics
dc.type	Article
Appears in Collections:	Annual Acquisition Research Symposium Proceedings & Presentations

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