Generation and use of a statistical as-built/as-is model
Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2005
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/9430 |
| _version_ | 1826199908693049344 |
|---|---|
| author | Keating, Daniel J. (Daniel James), 1976- |
| author2 | Daniel Frey. |
| author_facet | Daniel Frey. Keating, Daniel J. (Daniel James), 1976- |
| author_sort | Keating, Daniel J. (Daniel James), 1976- |
| collection | MIT |
| description | Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999. |
| first_indexed | 2024-09-23T11:28:02Z |
| format | Thesis |
| id | mit-1721.1/9430 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:28:02Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/94302020-03-30T21:59:00Z Generation and use of a statistical as-built/as-is model Keating, Daniel J. (Daniel James), 1976- Daniel Frey. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999. Includes bibliographical references. Using the principles of as-built/as-is engineering and decision analysis, it is possible to generate a highly accurate as-built model of a manufactured product, and an as-is model of an aged and/or used product from a relatively small amount of measurement information. Using manufacturing data from multiple product instantiations, one can determine probabilistic distributions for design parameters, establish influence relationships between variables, and identify the key characteristics which represent the entire group of instantiations in a single model. As-built/as-is engineering emphasizes the importance of knowing the actual state of a manufactured, aged, and/or used product, as opposed to the nominal design or the state of the product at an earlier time. Decision analysis is a commonly used procedure for determining the optimal course of action in the presence of uncertainty. Combining the principles of as-built/as-is engineering with decision analysis can lead to the creation of a highly accurate and relatively inexpensive numerical model, which can be used to enhance analysis, simulation, or decision making. The merits of as-built/as-is engineering are discussed, as well as the application of decision theory to this topic. The methodology for creating and verifying the as-built model provides the core of this research, and examples are given to display its effectiveness. by Daniel J. Keating. S.M.and S.B. 2005-08-22T18:18:38Z 2005-08-22T18:18:38Z 1999 1999 Thesis http://hdl.handle.net/1721.1/9430 43350956 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 107 p. 6944840 bytes 6944600 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering Keating, Daniel J. (Daniel James), 1976- Generation and use of a statistical as-built/as-is model |
| title | Generation and use of a statistical as-built/as-is model |
| title_full | Generation and use of a statistical as-built/as-is model |
| title_fullStr | Generation and use of a statistical as-built/as-is model |
| title_full_unstemmed | Generation and use of a statistical as-built/as-is model |
| title_short | Generation and use of a statistical as-built/as-is model |
| title_sort | generation and use of a statistical as built as is model |
| topic | Mechanical Engineering |
| url | http://hdl.handle.net/1721.1/9430 |
| work_keys_str_mv | AT keatingdanieljdanieljames1976 generationanduseofastatisticalasbuiltasismodel |