Airline operating cost reduction through enhanced engine health analytics
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, In conjunction with the Leaders for Global Operations Program at MIT, 2018.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2018
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| Online Access: | http://hdl.handle.net/1721.1/119307 |
| _version_ | 1811075492938252288 |
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| author | Luu, Henry H. T |
| author2 | Peter P. Belobaba and Arnold I. Barnett. |
| author_facet | Peter P. Belobaba and Arnold I. Barnett. Luu, Henry H. T |
| author_sort | Luu, Henry H. T |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, In conjunction with the Leaders for Global Operations Program at MIT, 2018. |
| first_indexed | 2024-09-23T10:06:59Z |
| format | Thesis |
| id | mit-1721.1/119307 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:06:59Z |
| publishDate | 2018 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1193072022-01-28T15:40:56Z Airline operating cost reduction through enhanced engine health analytics Luu, Henry H. T Peter P. Belobaba and Arnold I. Barnett. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Sloan School of Management Aeronautics and Astronautics. Sloan School of Management. Leaders for Global Operations Program. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, In conjunction with the Leaders for Global Operations Program at MIT, 2018. Thesis: M.B.A. Massachusetts Institute of Technology, Sloan School of Management 2018 In conjunction with the Leaders for Global Operations Program at MIT Cataloged from PDF version of thesis. "June 2018." Includes bibliographical references (pages 108-111). Engine Health Management (EHM) is a comprehensive maintenance service offered by engine manufacturer Pratt & Whitney (PW) to its airline customers. In its current form, engine performance is monitored through recorded physical metrics, such as gas temperature, pressure, and altitude, taken as single snapshots at various phases of flight. The advent of the Enhanced Flight Data Acquisition, Storage and Transmission (eFASTTM) system, which allows for near-continuous recording of engine metrics, provides Full-Flight Data Analytics (FFDA) that may proactively alert and recommend maintenance activity to airlines. Adopting eFASTTM may help avoid Adverse Operational Events (AOE) caused by unexpected engine failures and the associated cost burdens. With respect to operating cost, airlines standardly report Cost Per Available Seat Mile (CASM) and Cost Per Block Hour (CBH). EHM services that prevent operational disruptions can help airlines reduce these unit-cost metrics, whose scrutiny by industry analysts affect investment guidance, stock performance, and overall business outlook. In this study, the value of FFDA services to airlines is investigated on the International Aero Engines V2500, a mature engine with customers' operational histories well-documented. Using a Poisson distribution to model the occurrence of six operational disruption types-Inflight Shutdown, Aircraft-On-Ground, Aborted Takeoff, Air Turn-Back, Ground Turn-Back, and Delay/Cancellation-the cost savings potential is quantified as a function of events avoided by a hypothetical FFDA service. Airline Form 41 financial data from the Bureau of Transportation Statistics is then used to estimate the magnitude of savings on CASM and CBH retroactively for 2012-16. Results show that unit cost reductions of 0.5% to 1.5% are possible through engine event avoidance, representing savings up to $104M annually, but outcomes are highly dependent on assumptions about cost of operational disruptions for each individual carrier. Overall, a baseline model and procedure is developed for valuating FFDA and associated EHM services. Further collaboration between airlines and Pratt & Whitney on data availability and accuracy will help refine this model, which is the first to bridge publicly available airline costs with engine history data, helping stakeholders transition to an eFASTTM ecosystem that promises greater operational efficiency and safety. by Henry H. T. Luu. S.M. M.B.A. 2018-11-28T15:42:29Z 2018-11-28T15:42:29Z 2018 Thesis http://hdl.handle.net/1721.1/119307 1061861856 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 111 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Aeronautics and Astronautics. Sloan School of Management. Leaders for Global Operations Program. Luu, Henry H. T Airline operating cost reduction through enhanced engine health analytics |
| title | Airline operating cost reduction through enhanced engine health analytics |
| title_full | Airline operating cost reduction through enhanced engine health analytics |
| title_fullStr | Airline operating cost reduction through enhanced engine health analytics |
| title_full_unstemmed | Airline operating cost reduction through enhanced engine health analytics |
| title_short | Airline operating cost reduction through enhanced engine health analytics |
| title_sort | airline operating cost reduction through enhanced engine health analytics |
| topic | Aeronautics and Astronautics. Sloan School of Management. Leaders for Global Operations Program. |
| url | http://hdl.handle.net/1721.1/119307 |
| work_keys_str_mv | AT luuhenryht airlineoperatingcostreductionthroughenhancedenginehealthanalytics |