Of Engineering Augmenting Second Order Designs for Model Validation and Refinement
Validation is an important step that is often left out of modeling due to lack of time, lack of funding, or just plain ignorance. Many industries that practice design of experiments leave out this important step because the benefits are not visible for the model that is often created. In addition, t...
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ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_1764482020-06-09T03:08:19Z Of Engineering Augmenting Second Order Designs for Model Validation and Refinement Sciullo, Charlie (authoraut) Simpson, James R. (professor directing thesis) Pignatiello, Joseph J. (committee member) Hilton, Amy Chan (committee member) Department of Industrial and Manufacturing Engineering (degree granting department) Florida State University (degree granting institution) Text text Florida State University Florida State University English eng 1 online resource computer application/pdf Validation is an important step that is often left out of modeling due to lack of time, lack of funding, or just plain ignorance. Many industries that practice design of experiments leave out this important step because the benefits are not visible for the model that is often created. In addition, there appears to be no clear way to measure whether or not the validation points truly validate the model. This paper focuses on a new way of validation that will both refine the model, yielding more information, and validate the model. This new approach of validation is a simple way of improving the model and making sure that it does what it was designed to do. This validation procedure is only used for 2nd order models that are based off of a central composite design, but have the possibility of picking up 3rd order terms that the model was unable to identify without the extra validation points. Validation points are chosen through a genetic algorithm using space-filling and orthogonality criteria. A new set of points that is different from that of the design is derived. These points are better than just randomly selecting points that have no meaning. Validation is a necessary step to eliminate many risks. The procedure defined here is useful for determining 3rd order terms and their validity in a model. A Thesis Submitted to the Department of Industrial and Manufacturing Engingeering in Partial Fulfillment of the Requirements for the Degree of Masters of Science. Fall Semester, 2007. October 18, 2007. Augmentation, Second Order Desgins, Validation, Refinement Includes bibliographical references. James R. Simpson, Professor Directing Thesis; Joseph J. Pignatiello, Committee Member; Amy Chan Hilton, Committee Member. Industrial engineering FSU_migr_etd-1988 http://purl.flvc.org/fsu/fd/FSU_migr_etd-1988 This 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. http://diginole.lib.fsu.edu/islandora/object/fsu%3A176448/datastream/TN/view/Of%20Engineering%20Augmenting%20Second%20Order%20Designs%20for%20Model%20Validation%20and%20Refinement.jpg |
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Industrial engineering Of Engineering Augmenting Second Order Designs for Model Validation and Refinement |
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Validation is an important step that is often left out of modeling due to lack of time, lack of funding, or just plain ignorance. Many industries that practice design of experiments leave out this important step because the benefits are not visible for the model that is often created. In addition, there appears to be no clear way to measure whether or not the validation points truly validate the model. This paper focuses on a new way of validation that will both refine the model, yielding more information, and validate the model. This new approach of validation is a simple way of improving the model and making sure that it does what it was designed to do. This validation procedure is only used for 2nd order models that are based off of a central composite design, but have the possibility of picking up 3rd order terms that the model was unable to identify without the extra validation points. Validation points are chosen through a genetic algorithm using space-filling and orthogonality criteria. A new set of points that is different from that of the design is derived. These points are better than just randomly selecting points that have no meaning. Validation is a necessary step to eliminate many risks. The procedure defined here is useful for determining 3rd order terms and their validity in a model. === A Thesis Submitted to the Department of Industrial and Manufacturing Engingeering in Partial Fulfillment of the Requirements for the Degree of Masters of
Science. === Fall Semester, 2007. === October 18, 2007. === Augmentation, Second Order Desgins, Validation, Refinement === Includes bibliographical references. === James R. Simpson, Professor Directing Thesis; Joseph J. Pignatiello, Committee Member; Amy Chan Hilton, Committee Member. |
author2 |
Sciullo, Charlie (authoraut) |
author_facet |
Sciullo, Charlie (authoraut) |
title |
Of Engineering Augmenting Second Order Designs for Model Validation and Refinement |
title_short |
Of Engineering Augmenting Second Order Designs for Model Validation and Refinement |
title_full |
Of Engineering Augmenting Second Order Designs for Model Validation and Refinement |
title_fullStr |
Of Engineering Augmenting Second Order Designs for Model Validation and Refinement |
title_full_unstemmed |
Of Engineering Augmenting Second Order Designs for Model Validation and Refinement |
title_sort |
of engineering augmenting second order designs for model validation and refinement |
publisher |
Florida State University |
url |
http://purl.flvc.org/fsu/fd/FSU_migr_etd-1988 |
_version_ |
1719318099441745920 |