An Optimization Framework for Air Force Logistics Models
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 04, 2014
- Accession Number
- ADA615053
Entities
People
- Retsef Levi
- Thomas Magnanti
Organizations
- Massachusetts Institute of Technology