Objective comparison of design of experiments strategies in design and observations in practice
Name
57537076-MIT.pdf
Description
Full printable version
Size
1.1 MB
Format
Adobe PDF
Checksum (MD5)
d856c00b34d13e1e0bd6a50f3a745c25
Author(s)
Freeman, Ion Chalmers, 1968-
Advisor(s)
Christopher L. Magee.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
Design of Experiments (DoE) strategies in robust engineering determine which prototypes and how many of each are created and tested. A better strategy is one that delivers a closer-to-optimal performance at a lower experimental cost. Prototype testers who may use statistical DoE, design-build-test, or one-at-a-time methods in a wide variety of industries were sought out and interviewed to examine the strategies used in practice and how they fit into a proposed five-layer process support model. From these interviews, we see that DoE are competently and widely practiced. Some improvements to the state of the practice may include: contracts to specify and reward quality engineering among suppliers to complex product systems and wider use in light of new computing power of system level mathematical models for experimentation on complex systems. This thesis also examines the relative value of strategies in a particular response surface using a software-based comparator. The data is modified to simulate data environments with other levels of repeatability and interactions, and the way that these variables effect the performance of strategies is examined. The concept of an optimal design of experiments strategy is developed by abstracting the characteristics of a generic strategy and letting it develop in a genetic algorithm in that comparator. The framework for the evaluation of DoE strategies is one significant output to come out of this work that may be of use in future research. Further, the particular abstraction chosen for DoE strategies is offered to other researchers as an exemplar of a particular perspective, to help engender dialogue about methods for optimizing prototype testing policy.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2004.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 146-149).
Subjects
System Design and Management Program.
MIT Department
System Design and Management Program.
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