Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1890
Title: | Improving Multi-Component Maintenance Acquisition with a Greedy Heuristic Local Algorithm |
Authors: | Sifat Kalam Kash Barker Jose Emmanuael Ramirez-Marquez |
Keywords: | Performance Efficiency Maintenance Repair Overhaul MRO Link Acquisition Sustainment Policies |
Issue Date: | 30-Apr-2013 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | Maintenance SYM-LM-13-066 |
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. |
Description: | Logistics Management / Defense Acquisition Community Contributor |
URI: | https://dair.nps.edu/handle/123456789/1890 |
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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