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dc.contributor.advisorNancy Leveson and Roy Welsch.en_US
dc.contributor.authorBall, Allen J. (Allen Joseph)en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2015-09-29T18:56:22Z
dc.date.available2015-09-29T18:56:22Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/98976
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 161-163).en_US
dc.description.abstractProducibility is an emergent property of product development and manufacturing systems that encapsulates quality, product compliance, cost, and schedule. Detailed product definition and process variation have traditionally been a focus area for understanding risk for producibility losses. It is proposed for this investigation that while assumptions inherent to product configuration and process selection can significantly impact producibility, producibility risk and realized producibility losses are primarily indicated by organizational design assumptions and associated phased implementation of programmatic governance. This premise is systematically explored through an assessment of organizational dynamics and product development performance within Aerospace Corporation X. An extension of the hazard analysis technique System Theoretic Process Analysis (STPA) is invoked for leading indicator derivation from assumptions underlying causality of inadequate producibility control. Indicator integration with risk management processes is outlined, and a combination of expert-assessments and quality loss correlation are used to validate indicator significance. As a result of these investigations, it is concluded that functional isolation, phased capability and control, and differing performance incentives are central to producibility loss. In addition, these factors are deemed to be more important than product feature-based sources of producibility risk. Extension of STPA for indicator identification is validated and recommendations are provided for implementation of a leading indicator monitoring program.en_US
dc.description.statementofresponsibilityby Allen J. Ball.en_US
dc.format.extent163 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectAeronautics and Astronautics.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleIdentification of leading indicators for producibility risk in early-stage aerospace product developmenten_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.contributor.departmentSloan School of Management
dc.identifier.oclc921150418en_US


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