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Efficient Mixed-Level Fractional Factorial Designs

Title: Efficient Mixed-Level Fractional Factorial Designs: Evaluation, Augmentation and Application.
Name(s): Guo, Yong, 1977-, author
Simpson, James R., professor directing dissertation
Niu, Xufeng, outside committee member
Awoniyi, Samuel A., committee member
Pignatiello, Joseph J., Jr., committee member
Department of Industrial and Manufacturing Engineering, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2006
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: 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.
Identifier: FSU_migr_etd-3910 (IID)
Submitted Note: A Dissertation submitted to the Department of Industrial and Manufacturing Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Spring Semester, 2006.
Date of Defense: April 7, 2006.
Keywords: Mixed-Level Designs, Augmentation, Qualitative Factor, General Balance Metric, Design Of Experiments, Foldover, Minimum Aberration Criterion
Bibliography Note: Includes bibliographical references.
Advisory Committee: James R. Simpson, Professor Directing Dissertation; Xufeng Niu, Outside Committee Member; Samuel A. Awoniyi, Committee Member; Joseph J. Pignatiello, Jr., Committee Member.
Subject(s): Manufacturing processes
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Owner Institution: FSU

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Guo, Y. (2006). Efficient Mixed-Level Fractional Factorial Designs: Evaluation, Augmentation and Application. Retrieved from