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Generation and use of a statistical as-built/as-is model

IP.com Disclosure Number: IPCOM000128109D
Original Publication Date: 1999-Dec-31
Included in the Prior Art Database: 2005-Sep-14
Document File: 4 page(s) / 16K

Publishing Venue

Software Patent Institute

Related People

Keating, Daniel J: AUTHOR [+3]

Related Documents

http://theses.mit.edu:80/Dienst/UI/2.0/Describe/0018.mit.theses/1999-107: URL

Abstract

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.

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 This record is the front matter from a document that appears on a server at MIT and is used through permission from MIT. See http://theses.mit.edu:80/Dienst/UI/2.0/Describe/0018.mit.theses/1999-107 for copyright details and for the full document in image form.

Generation and Use of a Statistical As-Built/As-Is Model

by

Daniel J. Keating
Submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Mechanical Engineering

at the Massachusetts Institute of Technology

June 1999
SIGNATURE OF author: [[signature omitted]]

Department of Mechanical Engineering

May 7,1999
CERTIFIED BY: [[SIGNATURE OMITTED]]

Daniel Frey Assistant Professor of Aeronautical and Astronautical Engineering Thesis Supervisor Kevin N. Otto
Robert N. Noyce Assistant Professor of Mechanical Engineering Thesis Reader ACCEPTED BY: [[SIGNATURE OMITTED]]

Ain A. Sonin Chairman, Department Committee on Graduate Students ARCHIVES MASSACHUSETTS INSTITUTE OF TECHNOLOGY LIBRARIES JUL 12 1999

Massachusetts Institute of Technology Page 1 Dec 31, 1999

Page 2 of 4

Generation and use of a statistical as-built/as-is model

GENERATION AND USE OF A STATISTICAL AS-BUILT/AS-IS MODEL

By Daniel S. Keating

Submitted to the Department of Mechanical Engineering on May 7, 1999 in Partial Fulfillment of the Requirements for the Degrees of Master of Science in Mechanical Engineering and Bachelor of Science in Mechanical Engineering

ABSTRACT

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.

Thesis Supervisor: Daniel Frey Title: Assistant Professor of Aeronautical and Astronautical Engineering

Thesis Reader: Kevin N. Otto Robert N. Noyce As...