Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4532
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Charles Pickar, Raymond Franck | - |
dc.date.accessioned | 2022-01-31T17:03:19Z | - |
dc.date.available | 2022-01-31T17:03:19Z | - |
dc.date.issued | 2021-12-29 | - |
dc.identifier.citation | Published--Unlimited Distribution | en_US |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/4532 | - |
dc.description | Acquisition Management / Faculty Report | en_US |
dc.description.abstract | This continuing project aims to examine weapons systems development schedules to identify ways to predict the duration of the defense acquisition schedule more accurately. This study aims to provide a more complete understanding of the myriad factors that drive the weapon system development timelines. In particular, we propose to investigate insights from contemporary data science methods to identify variables critical to predicting acquisition schedules through Schedule Estimating Relationships. | en_US |
dc.description.sponsorship | Acquisition Research Program | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Acquisition Research Program | en_US |
dc.relation.ispartofseries | Acquisition Management;NPS-AM-22-013 | - |
dc.subject | Data Science | en_US |
dc.subject | Acquisition Schedules | en_US |
dc.title | Telling Time: Getting Relevant Data for Acquisition Schedule Estimating Relationships | en_US |
dc.type | Technical Report | en_US |
Appears in Collections: | Sponsored Acquisition Research & Technical Reports |
Files in This Item:
File | Description | Size | Format | |
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NPS-AM-22-013.pdf | Technical Report | 842.43 kB | Adobe PDF | View/Open |
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