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Daniel D. Frey. Persons, Jeffrey B Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2007-03-12T17:47:14Z 2007-03-12T17:47:14Z 2006 2006 http://hdl.handle.net/1721.1/36717 77561546 Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. Includes bibliographical references (leaf 46). Recent research has suggested that under certain conditions, adaptive one-factor-at-a-time (aOFAT) methods outperform more commonly used fractional factorial methods. This study sought to corroborate these claims by analyzing a case study of a real-life experiment. A full factorial experiment was conducted to collect data for simulations of fractional factorial and adaptive one-factor-at-a-time experiments. The experiment used a reconfigurable paper aircraft template with four three-level control factors. Results indicated that the exploitation of control factor interactions by adaptive one-factor-at-a-time occurred at similar rates as predicted by Frey and Wang (2006). AOFAT experiments proved particularly effective at avoiding factor levels that led to poor performance. with rates of avoidance approaching 100% for the worst levels. When bias in the full factorial experiment was eliminated, aOFAT methods even returned a higher (weighted average) leading quality indicator value than full factorial methods. by Jeffrey B. Persons, Jr.. S.B. 46 leaves eng Massachusetts Institute of Technology 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 Mechanical Engineering. Assessment of adaptive one-factor-at-a-time method vs. fractional factorial methods using reconfigurable paper aircraft Assessment of aOFAT method vs. fractional factorial methods using reconfigurable paper aircraft Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="89bef2d4-ce66-478f-94b9-69ae6c0101b6"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Assessment of adaptive one-factor-at-a-time method vs. fractional factorial methods using reconfigurable paper aircraft</Title> <Subtitle>Assessment of aOFAT method vs. fractional factorial methods using reconfigurable paper aircraft</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2006</PublicationDate> <Authors> <Author> <DisplayName>Persons, Jeffrey B</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>Recent research has suggested that under certain conditions, adaptive one-factor-at-a-time (aOFAT) methods outperform more commonly used fractional factorial methods. This study sought to corroborate these claims by analyzing a case study of a real-life experiment. A full factorial experiment was conducted to collect data for simulations of fractional factorial and adaptive one-factor-at-a-time experiments. The experiment used a reconfigurable paper aircraft template with four three-level control factors. Results indicated that the exploitation of control factor interactions by adaptive one-factor-at-a-time occurred at similar rates as predicted by Frey and Wang (2006). AOFAT experiments proved particularly effective at avoiding factor levels that led to poor performance. with rates of avoidance approaching 100% for the worst levels. When bias in the full factorial experiment was eliminated, aOFAT methods even returned a higher (weighted average) leading quality indicator value than full factorial methods.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>