Dynamic planning under uncertainty for theater airlift operations
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2007.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/40387 |
| _version_ | 1826211204264099840 |
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| author | Martin, Kiel M. (Kiel Michael) |
| author2 | Cynthia Barnhart. |
| author_facet | Cynthia Barnhart. Martin, Kiel M. (Kiel Michael) |
| author_sort | Martin, Kiel M. (Kiel Michael) |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2007. |
| first_indexed | 2024-09-23T15:02:13Z |
| format | Thesis |
| id | mit-1721.1/40387 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:02:13Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/403872020-12-12T17:14:34Z Dynamic planning under uncertainty for theater airlift operations Martin, Kiel M. (Kiel Michael) Cynthia Barnhart. Massachusetts Institute of Technology. Operations Research Center. Massachusetts Institute of Technology. Operations Research Center. Operations Research Center. Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2007. Includes bibliographical references (p. 92-93). In this thesis, we analyze intratheater airlift operations, and propose methods to improve the planning process. The United States Air Mobility Command is responsible for the air component of the world wide U.S. military logistics network. Due to the current conflict in Iraq, a small cell within Air Mobility Command, known as Theater Direct Delivery, is responsible for supporting ongoing operations by assisting with intratheater airlift. We develop a mathematical programming approach to schedule airlift missions that pick up and deliver prioritized cargo within time windows. In our approach, we employ composite variables to represent entire missions and associated decisions, with each decision variable including information pertaining to the mission routing and scheduling, and assigned aircraft and cargo. We compare our optimization-based approach to one using a greedy heuristic that is representative of the current planning process. Using measures of efficiency and effectiveness, we evaluate and compare the performance of these different approaches. Finally, we adjust selected parameters of our model and measure the resulting changes in operating performance of our solutions, and the required computational effort to generate the solutions. by Kiel M. Martin. S.M. 2008-02-27T22:18:45Z 2008-02-27T22:18:45Z 2007 2007 Thesis http://hdl.handle.net/1721.1/40387 191222564 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 93 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Operations Research Center. Martin, Kiel M. (Kiel Michael) Dynamic planning under uncertainty for theater airlift operations |
| title | Dynamic planning under uncertainty for theater airlift operations |
| title_full | Dynamic planning under uncertainty for theater airlift operations |
| title_fullStr | Dynamic planning under uncertainty for theater airlift operations |
| title_full_unstemmed | Dynamic planning under uncertainty for theater airlift operations |
| title_short | Dynamic planning under uncertainty for theater airlift operations |
| title_sort | dynamic planning under uncertainty for theater airlift operations |
| topic | Operations Research Center. |
| url | http://hdl.handle.net/1721.1/40387 |
| work_keys_str_mv | AT martinkielmkielmichael dynamicplanningunderuncertaintyfortheaterairliftoperations |