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Accession Number ADA564048
Title Optimization Framework for Air Force Logistics Models.
Publication Date Aug 2011
Media Count 10p
Personal Author R. Levi T. Magnanti
Abstract The goal of this project was to create a new framework of models and algorithms to address grand challenges in the US Air Force logistics. We have developed new models, algorithms and performance analysis techniques that address major current and future logistics issues within the Air Force. In particular, we have focused on strategic and operational issues in the management of maintenance resources and its interactions with inventory and transportation considerations. Over the last 50 years the Air Force maintenance resources has significantly decreased and become a critical bottleneck to the Air Force ability to accomplish its missions. However, relatively little attention has been given to maintenance considerations compared to other considerations, such as inventory management. The algorithms that we developed are provably near-optimal and can be applied to realistic large scale instances. Some of the work that has been done in this project has promising potential to impact and improve some of the current Air Force logistics best practices, and ultimately lead to decision support tools that could assist decision makers within the Air Force. We believe that this work creates new avenues for additional basic research related to Air Force logistics core current and future problems.
Keywords Air force equipment
Air force operations
Aircraft maintenance
Low observable aircraft maintenance
Maintenance management
Modular maintenance scheduling
Performance analysis
Preventative maintenance
Supply chain management
Trade off analysis
Usage limited components
Worst case scenarios

Source Agency Non Paid ADAS
NTIS Subject Category 70B - Management Practice
74E - Logistics, Military Facilities, & Supplies
Corporate Author Massachusetts Inst. of Tech., Cambridge.
Document Type Technical report
Title Note Final rept. 1 Mar 2008-31 May 2011.
NTIS Issue Number 1302
Contract Number FA9550-08-1-0369

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