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Efficient Mixed-Level Fractional Factorial Designs: Evaluation, Augmentation and Application

In general, a minimum aberration criterion is used to evaluate fractional factorial designs. This dissertation begins with a comprehensive review and comparison of minimum aberration criteria definitions regarding their applications, relationships, advantages, limitations and drawbacks. A new criterion called the general balance metric, is proposed to evaluate and compare mixed-level fractional factorial designs. The general balance metric measures the degree of balance for both main effects and interaction effects. This criterion is related to, and dominates orthogonality criteria as well as traditional minimum aberration criteria. Besides, the proposed criterion provides immediate feedback and comprehensively assesses designs and has practical interpretations. The metric can also be used for the purpose of design augmentation to improve model fit. Based upon the proposed criterion, a method is proposed to identify the optimal foldover strategies for efficient mixed-level designs. The analysis of mixed-level designs involving qualitative factors can be achieved through indicator variables or contrast coefficients. A regression model is developed to include qualitative factor interactions which have been previously ignored. / A Dissertation submitted to the Department of Industrial and Manufacturing Engineering in partial fulfillment of the requirements for the degree of Doctor of
Philosophy. / Spring Semester, 2006. / April 7, 2006. / Mixed-Level Designs, Augmentation, Qualitative Factor, General Balance Metric, Design Of Experiments, Foldover, Minimum Aberration Criterion / Includes bibliographical references. / James R. Simpson, Professor Directing Dissertation; Xufeng Niu, Outside Committee Member; Samuel A. Awoniyi, Committee Member; Joseph J. Pignatiello, Jr., Committee Member.

Identiferoai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_182139
ContributorsGuo, Yong, 1977- (authoraut), Simpson, James R. (professor directing dissertation), Niu, Xufeng (outside committee member), Awoniyi, Samuel A. (committee member), Pignatiello, Joseph J. (committee member), Department of Industrial and Manufacturing Engineering (degree granting department), Florida State University (degree granting institution)
PublisherFlorida State University, Florida State University
Source SetsFlorida State University
LanguageEnglish, English
Detected LanguageEnglish
TypeText, text
Format1 online resource, computer, application/pdf
RightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them.

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