Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/2460
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Geraldo Ferrer | |
dc.date.accessioned | 2020-03-16T18:17:51Z | - |
dc.date.available | 2020-03-16T18:17:51Z | - |
dc.date.issued | 2010-05-04 | |
dc.identifier.citation | Published--Unlimited Distribution | |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/2460 | - |
dc.description | Logistics Management / NPS Faculty Research | |
dc.description.abstract | This study provides the analysis of the material planning strategies for six remanufacturing settings that are common to defense assets and to other technical equipment. These settings are classified according to two dimensions: the supplier lead time to deliver replacement components (compared to the duration of the process), and the stage in the process that the recovery yield is identified (before disassembly, after disassembly or during component repair). The production plans for the three settings with short supplier lead time are solved optimally. The long supplier lead time of the three other settings complicate the analysis, so the paper offers production plans that approximate the optimal policy in these cases. | |
dc.description.sponsorship | Acquisition Research Program | |
dc.language | English (United States) | |
dc.publisher | Acquisition Research Program | |
dc.relation.ispartofseries | Remanufacturing | |
dc.relation.ispartofseries | NPS-LM-10-015 | |
dc.subject | Remanufacturing | |
dc.subject | Process Yield | |
dc.subject | Material Recovery | |
dc.subject | Stochastic Optimization | |
dc.subject | Simulation | |
dc.title | The Remanufacturing Process of Defense Assets with Stochastic Yield | |
dc.type | Technical Report | |
Appears in Collections: | Sponsored Acquisition Research & Technical Reports |
Files in This Item:
File | Size | Format | |
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NPS-LM-10-015.pdf | 744.87 kB | Adobe PDF | View/Open |
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