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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Other Authors: Sciullo, Charlie (authoraut)
Format: Others
Language:English
English
Published: Florida State University
Subjects:
Online Access:http://purl.flvc.org/fsu/fd/FSU_migr_etd-1988
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spelling 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
collection NDLTD
language English
English
format Others
sources NDLTD
topic Industrial engineering
spellingShingle Industrial engineering
Of Engineering Augmenting Second Order Designs for Model Validation and Refinement
description 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
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