Engineering design leadtime drivers analysis
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1999.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/9431 |
| _version_ | 1811076645714395136 |
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| author | Macías Anaya, Néstor Alejandro, 1971- |
| author2 | Stephen Graves and Steven Eppinger. |
| author_facet | Stephen Graves and Steven Eppinger. Macías Anaya, Néstor Alejandro, 1971- |
| author_sort | Macías Anaya, Néstor Alejandro, 1971- |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1999. |
| first_indexed | 2024-09-23T10:25:23Z |
| format | Thesis |
| id | mit-1721.1/9431 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:25:23Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/94312020-03-30T21:57:51Z Engineering design leadtime drivers analysis Macías Anaya, Néstor Alejandro, 1971- Stephen Graves and Steven Eppinger. Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management Mechanical Engineering Sloan School of Management Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 1999. Includes bibliographical references (leaves 73-74). Leadtime is one of the most important performance metrics in the engineering design organization of General Motors' Truck Group. Because of the many variables that influence leadtime. It is not clear where efforts should be focused to improve leadtime. Quantitative models for the variables affecting leadtime were developed and by quantifying their relative impact on Overall during the key variables were identified. Key variables address time spent in design rework. time waiting for information/definition, time waiting for resources, and the base design time for a new vehicle program. The variables influencing leadtime are captured in an influence diagram. The influence diagram shows the relationships among the variables and is supported by quantitate models that can demonstrate design leadtime sensitivity to changes in the model's variables and parameters. In addition. the analysis provides qualitative insight which is useful for framing recommendations about specific improvement tasks or projects. The analysis of this thesis focused on leadtime delays. The variables related to the turnover of certain designers. to the tome waiting for information from design center (styling) and to the time waiting for information from suppliers are the key drivers of leadtime for the engineering systems on the critical path of a program. Moreover. the considerable variance that is observed in overall leadtime indicates that control of variability in the company's development processes will also lead to significant system improvements. A second part of this thesis includes an analysis of action plans 10 reduce restaffing delays. by Néstor Alejandro Macías Anaya. S.M. 2005-08-22T18:19:03Z 2005-08-22T18:19:03Z 1999 1999 Thesis http://hdl.handle.net/1721.1/9431 43354140 eng 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 91 leaves 4838347 bytes 4838107 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering Sloan School of Management Macías Anaya, Néstor Alejandro, 1971- Engineering design leadtime drivers analysis |
| title | Engineering design leadtime drivers analysis |
| title_full | Engineering design leadtime drivers analysis |
| title_fullStr | Engineering design leadtime drivers analysis |
| title_full_unstemmed | Engineering design leadtime drivers analysis |
| title_short | Engineering design leadtime drivers analysis |
| title_sort | engineering design leadtime drivers analysis |
| topic | Mechanical Engineering Sloan School of Management |
| url | http://hdl.handle.net/1721.1/9431 |
| work_keys_str_mv | AT maciasanayanestoralejandro1971 engineeringdesignleadtimedriversanalysis |