Persistent Link:
http://hdl.handle.net/10150/185883
Title:
Sensitivity analysis as a tool in diverse engineering fields.
Author:
Karnavas, William Jonas.
Issue Date:
1992
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engineering fields, yet few papers include them. Perhaps this is because of the subtle tricks and customizations that have to be done to make them work. The first section of this dissertation, chapters 2 through 4, is a review of sensitivity analysis history, techniques, uses and terminology from different fields. These chapters show how to overcome some of the difficulties of performing sensitivity analyses. They draw examples from a broad range of fields: physics, systems theory, physiology, artificial intelligence, bioengineering, control theory, simulation, queuing theory and system design. This section summarizes and generalizes many of the important points that can be extracted from literature covering diverse fields and long time spans. The second section of this dissertation, chapters 5 through 8, consists of four examples of sensitivity analysis as applied to projects that I have worked on in the Systems and Industrial Engineering Department. These examples will attempt to show the working tricks as well as the benefits of sensitivity analysis in the development, refinement, validation and use of system models.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Dissertations, Academic.; Engineering.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Systems and Industrial Engineering; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Bahill, A.T.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleSensitivity analysis as a tool in diverse engineering fields.en_US
dc.creatorKarnavas, William Jonas.en_US
dc.contributor.authorKarnavas, William Jonas.en_US
dc.date.issued1992en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engineering fields, yet few papers include them. Perhaps this is because of the subtle tricks and customizations that have to be done to make them work. The first section of this dissertation, chapters 2 through 4, is a review of sensitivity analysis history, techniques, uses and terminology from different fields. These chapters show how to overcome some of the difficulties of performing sensitivity analyses. They draw examples from a broad range of fields: physics, systems theory, physiology, artificial intelligence, bioengineering, control theory, simulation, queuing theory and system design. This section summarizes and generalizes many of the important points that can be extracted from literature covering diverse fields and long time spans. The second section of this dissertation, chapters 5 through 8, consists of four examples of sensitivity analysis as applied to projects that I have worked on in the Systems and Industrial Engineering Department. These examples will attempt to show the working tricks as well as the benefits of sensitivity analysis in the development, refinement, validation and use of system models.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectDissertations, Academic.en_US
dc.subjectEngineering.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineSystems and Industrial Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorBahill, A.T.en_US
dc.contributor.committeememberFernandez, E.en_US
dc.contributor.committeememberSzidarovszky, F.en_US
dc.contributor.committeememberMylrea, K.en_US
dc.identifier.proquest9234880en_US
dc.identifier.oclc712789375en_US
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