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Annalisa Weigel and Roy Welsch. Charpentier, Erik L Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management 2015-09-29T18:58:30Z 2015-09-29T18:58:30Z 2015 2015 http://hdl.handle.net/1721.1/99017 921303050 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 Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 56-57). A new airplane model is quickly ramping up in production rates, and in order to achieve the organizational targets and commitments, Flow Days, Unit Hours and Cycle Times must be reduced throughout the entire supply chain. The Continuous Improvement Group (CIG) is an initiative supporting these improvements by applying the Theory of Constraints to identify improvement opportunities and lead teams to implement solutions and make the improvements. This thesis details the approach of using historical manufacturing data to identify focus areas for analysis and a methodology for analyzing a specific manufacturing process. This analysis and the improvement opportunities identified for several processes in the Final Assembly of the new plane are discussed, as well as the efforts implement solutions to these opportunities. Finally, this thesis also describes the mindsets and organizational characteristics that are necessary in order to make large efficiency improvements in a complex manufacturing process. by Erik L. Charpentier. M.B.A. S.M. 57 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. Mechanical Engineering. Leaders for Global Operations Program. Applying constraint-based theory to a complex aerospace manufacturing process Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="4e5f68dc-6905-4e74-a150-29866e88f87c"> <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>Applying constraint-based theory to a complex aerospace manufacturing process</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Charpentier, Erik L</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>Mechanical Engineering.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <Abstract>A new airplane model is quickly ramping up in production rates, and in order to achieve the organizational targets and commitments, Flow Days, Unit Hours and Cycle Times must be reduced throughout the entire supply chain. The Continuous Improvement Group (CIG) is an initiative supporting these improvements by applying the Theory of Constraints to identify improvement opportunities and lead teams to implement solutions and make the improvements. This thesis details the approach of using historical manufacturing data to identify focus areas for analysis and a methodology for analyzing a specific manufacturing process. This analysis and the improvement opportunities identified for several processes in the Final Assembly of the new plane are discussed, as well as the efforts implement solutions to these opportunities. Finally, this thesis also describes the mindsets and organizational characteristics that are necessary in order to make large efficiency improvements in a complex manufacturing process.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>