Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/2314
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dc.contributor.authorShane Manuel
dc.contributor.authorAshley Chung
dc.contributor.authorAshley Feldman
dc.date.accessioned2020-03-16T18:09:55Z-
dc.date.available2020-03-16T18:09:55Z-
dc.date.issued2018-12-01
dc.identifier.citationPublished--Unlimited Distribution
dc.identifier.urihttps://dair.nps.edu/handle/123456789/2314-
dc.descriptionContract Management / Graduate Student Research
dc.description.abstractThe purpose of our research is to develop a procurement administrative lead time (PALT) prediction model for sole-source contract awards greater than $500 million at Air Force Life Cycle Management Center. The scope of our research is confined to PALT, which is the number of days between solicitation release and contract award. Our research team uses an Ordinary Least Squares regression to model the relationship between our response variable, PALT, and twelve explanatory variables. Based on our results, we found five statistically significant variables and their effects sign and magnitude on PALT. The model accounts for 90.05% of the variation in PALT. Accurately predicting a schedule provides commanders and decision-makers with the ability to make better strategic business decisions to support the warfighter.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesAcquisition
dc.relation.ispartofseriesNPS-CM-19-026
dc.subjectProcurement Administrative Lead Time
dc.subjectPALT
dc.subjectSole-Source
dc.subjectOrdinary Least Squares
dc.titleFactors Influencing the PALT of Sole-Source Acquisitions Greater Than $500 Million
dc.typeTechnical Report
Appears in Collections:NPS Graduate Student Theses & Reports

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