Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4320
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Randy Maule | - |
dc.date.accessioned | 2021-03-01T15:20:05Z | - |
dc.date.available | 2021-03-01T15:20:05Z | - |
dc.date.issued | 2021-03-01 | - |
dc.identifier.citation | Published--Unlimited Distribution | en_US |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/4320 | - |
dc.description | Acquisition Management / Faculty Research | en_US |
dc.description.abstract | Cybersecurity is a national priority, but the analysis required for acquisition personnel to objectively assess the integrity of the supply chain for cyber compromise is highly complex. This paper presents a process for supply chain data analytics for acquisition decision makers, addressing data collection, assessment, and reporting. The method includes workflows from initial purchase request through vendor selection and maintenance to audits across the lifecycle of an asset. Artificial intelligence can help acquisition decision makers automate the complexity of supply chain information assurance. | 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 supply chain;NPS-AM-21-034 | - |
dc.subject | acquisition supply chain | en_US |
dc.subject | decision support system | en_US |
dc.subject | test and measurement | en_US |
dc.subject | analytics | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | automation | en_US |
dc.subject | cybersecurity | en_US |
dc.title | Acquisition Data Analytics for Supply Chain Cybersecurity | 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-21-034.pdf | Technical Report | 2.96 MB | Adobe PDF | View/Open |
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