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Integrated automotive exhaust engineering : uncertainty management

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dc.contributor.advisor Daniel Whitney. en_US
dc.contributor.author Fang, Xitian, 1963- en_US
dc.contributor.author Wan, Deming, 1967- en_US
dc.contributor.other System Design and Management Program. en_US
dc.date.accessioned 2006-11-07T13:39:46Z
dc.date.available 2006-11-07T13:39:46Z
dc.date.copyright 2006 en_US
dc.date.issued 2006 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/34631
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006. en_US
dc.description Includes bibliographical references (p. 104-108). en_US
dc.description.abstract The global automotive industry has entered a stagnating period. Automotive OEMs and their tier suppliers are struggling for business growth. One of the most important strategies is to improve the engineering efficiency in the product development process. The engineering uncertainties have been identified as the main obstacles in the Lean Engineering practices. This study will be focused on the engineering development process of ArvinMeritor Emission Technologies. The lean engineering principles and techniques are applied to the current product development process. The Value Stream Mapping and Analysis method is used to identify the information flow inside the current engineering process. Based on the value stream map, the uncertainties at various development stages in the process are identified. The Design Structure Matrix is used to identify any unplanned design iteration, which results in lower engineering efficiency. The House of Quality is used to prioritize the importance of the iterations. The suggested excel program can effectively evaluate the effect of task duration, probability, impact and learning curve assumption. en_US
dc.description.abstract (cont.) In order to quantitatively predict the effects of the uncertainties, a System Dynamic model is specifically developed for the current engineering of Emission Technologies. The results clearly indicate the control factors for on-time delivery, efficient resource allocation, and cost reduction. This study has integrated the techniques from system engineering, system project management, and system dynamics. An improved automotive exhaust engineering process is proposed. en_US
dc.description.statementofresponsibility by Xitian Fang and Deming Wan. en_US
dc.format.extent 108 p. en_US
dc.format.extent 7543526 bytes
dc.format.extent 7549720 bytes
dc.format.mimetype application/pdf
dc.format.mimetype application/pdf
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject System Design and Management Program. en_US
dc.title Integrated automotive exhaust engineering : uncertainty management en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department System Design and Management Program. en_US
dc.identifier.oclc 71516052 en_US


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