Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1890
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Sifat Kalam | |
dc.contributor.author | Kash Barker | |
dc.contributor.author | Jose Emmanuael Ramirez-Marquez | |
dc.date.accessioned | 2020-03-16T18:02:41Z | - |
dc.date.available | 2020-03-16T18:02:41Z | - |
dc.date.issued | 2013-04-30 | |
dc.identifier.citation | Published--Unlimited Distribution | |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/1890 | - |
dc.description | Logistics Management / Defense Acquisition Community Contributor | |
dc.description.abstract | As many large-scale DoD systems age, and due to budgetary and performance efficiency concerns, there is a need to improve the decision making process for system sustainment, including maintenance, repair, and overhaul (MRO) operations and the acquisition of MRO parts. To help address the link between sustainment policies and acquisition, this work develops a greedy heuristic based local search algorithm to provide a system maintenance schedule for multi-component systems, coordinating recommended component maintenance times to reduce system downtime costs thereby enabling effective acquisition. | |
dc.description.sponsorship | Acquisition Research Program | |
dc.language | English (United States) | |
dc.publisher | Acquisition Research Program | |
dc.relation.ispartofseries | Maintenance | |
dc.relation.ispartofseries | SYM-LM-13-066 | |
dc.subject | Performance Efficiency | |
dc.subject | Maintenance | |
dc.subject | Repair | |
dc.subject | Overhaul | |
dc.subject | MRO | |
dc.subject | Link Acquisition | |
dc.subject | Sustainment Policies | |
dc.title | Improving Multi-Component Maintenance Acquisition with a Greedy Heuristic Local Algorithm | |
dc.type | Article | |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Size | Format | |
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SYM-LM-13-066.pdf | 495 kB | Adobe PDF | View/Open |
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