Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1358Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Eva Regnier | |
| dc.contributor.author | Jay Simon | |
| dc.contributor.author | Daniel Nussbaum | |
| dc.date.accessioned | 2020-03-16T17:52:14Z | - |
| dc.date.available | 2020-03-16T17:52:14Z | - |
| dc.date.issued | 2012-04-30 | |
| dc.identifier.citation | Published--Unlimited Distribution | |
| dc.identifier.uri | https://dair.nps.edu/handle/123456789/1358 | - |
| dc.description | Acquisition Management / NPS Faculty Research | |
| dc.description.abstract | Department of Defense policy and federal statute call for using the fully burdened cost of energy in cost estimates that support acquisition decision-making, so that decisions reflect all the costs throughout the organization that will be incurred (or saved) by a given acquisition decision. This work explores methods to estimate the fully burdened cost of supply for fuel, batteries, water, and other consumables as a function of variables that may be modeled during early (up to and including Milestone A) acquisition decisions, such as the geographic location at which supply is demanded. | |
| dc.description.sponsorship | Acquisition Research Program | |
| dc.language | English (United States) | |
| dc.publisher | Acquisition Research Program | |
| dc.relation.ispartofseries | Logistics Burdens | |
| dc.relation.ispartofseries | SYM-AM-12-091 | |
| dc.subject | Logistics | |
| dc.subject | Fully Burdened Cost of Fuel | |
| dc.subject | Input Output Analysis | |
| dc.title | Estimating Logistics Burdens in Support of Acquisition Decisions | |
| dc.type | Article | |
| Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| SYM-AM-12-091.pdf | 158.29 kB | Adobe PDF | View/Open |
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