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Nancy Leveson and Roy Welsch. Ball, Allen J. (Allen Joseph) 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 2015-09-29T18:56:22Z 2015-09-29T18:56:22Z 2015 2015 http://hdl.handle.net/1721.1/98976 921150418 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 161-163). Producibility 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. by Allen J. Ball. M.B.A. S.M. 163 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. Identification of leading indicators for producibility risk in early-stage aerospace product development Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="bde2c7a8-59d6-4522-90bb-edbaaa0e7723"> <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>Identification of leading indicators for producibility risk in early-stage aerospace product development</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Ball, Allen J. (Allen Joseph)</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>Producibility 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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>