Integrated automotive exhaust engineering : uncertainty management
Name
71516052-MIT.pdf
Description
Full printable version
Size
14.29 MB
Format
Adobe PDF
Checksum (MD5)
ee89c91c2c17b1fb1e25e910943dc069
Author(s)
Fang, Xitian, 1963-
Wan, Deming, 1967-
Advisor(s)
Daniel Whitney.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
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.
(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.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.
Includes bibliographical references (p. 104-108).
Subjects
System Design and Management Program.
MIT Department
System Design and Management Program.
Terms of Use
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