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Youssef Marzouk, Karen Willcox, and Roy E. Welsch. Roberson, Daniel Richard 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 2015-09-29T18:59:47Z 2015-09-29T18:59:47Z 2015 2015 http://hdl.handle.net/1721.1/99041 921440268 Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 85-88). The maintenance and operation of commercial turbofan engines relies upon an understanding of the factors which contribute to engine degradation from the operational mission, environment and maintenance procedures. A multiple information source system is developed using the Pratt & Whitney engine to combine predictive engineering simulations with socio-technical effects and environmental factors for an improved predictive system for engine time on-wing. The system establishes an airport severity factor for all operating airports based upon mission parameters and environmental parameters. The final system involves three hierarchical layers: a 1-D engineering simulation; a parametric survival study; and a logistic regression study. Each of these layers is combined so that the output of the prior becomes the input of the next model. The combined system demonstrates an improvement in current practices at a fleet level from an R2 of 0.526 to 0.7966 and provides an indication of the relationship suspended particulate matter and engine degradation. The potential effects on the airline industry from city based severity in maintenance contracts are explored. Application of multiple information sources requires both knowledge of the system, and access to the data. The organizational structure of a data analytics organization is described; an architecture for integration of this team within an existing corporate environment is proposed. by Daniel Richard Roberson. M.B.A. S.M. 88 pages eng Massachusetts Institute of Technology 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 Sloan School of Management. Aeronautics and Astronautics. Leaders for Global Operations Program. Application of multiple information sources to prediction of engine time on-wing Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="937c589f-bd4d-4685-804d-3d7370820db1"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Application of multiple information sources to prediction of engine time on-wing</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Roberson, Daniel Richard</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Keyword>Aeronautics and Astronautics.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <Abstract>The maintenance and operation of commercial turbofan engines relies upon an understanding of the factors which contribute to engine degradation from the operational mission, environment and maintenance procedures. A multiple information source system is developed using the Pratt &amp; Whitney engine to combine predictive engineering simulations with socio-technical effects and environmental factors for an improved predictive system for engine time on-wing. The system establishes an airport severity factor for all operating airports based upon mission parameters and environmental parameters. The final system involves three hierarchical layers: a 1-D engineering simulation; a parametric survival study; and a logistic regression study. Each of these layers is combined so that the output of the prior becomes the input of the next model. The combined system demonstrates an improvement in current practices at a fleet level from an R2 of 0.526 to 0.7966 and provides an indication of the relationship suspended particulate matter and engine degradation. The potential effects on the airline industry from city based severity in maintenance contracts are explored. Application of multiple information sources requires both knowledge of the system, and access to the data. The organizational structure of a data analytics organization is described; an architecture for integration of this team within an existing corporate environment is proposed.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>