Some optimization procedures used in response surface methodology

dc.contributor.authorGlenn, Bruce R.en
dc.contributor.departmentStatisticsen
dc.date.accessioned2017-03-10T20:47:53Zen
dc.date.available2017-03-10T20:47:53Zen
dc.date.issued1967en
dc.description.abstractThis thesis is a literature survey into selected optimization topics of response surface methodology. In a typical response surface problem one of the main problems to be solved is to find those levels of the controllable variables to provide an optimum response such as highest yield or lowest cost. Several methods for attaining this optimum response are discussed, such as: the method of steepest ascent, sequential one-factor at a time procedure, a random balance method also known as random evolutionary operation (REVOP), rotating square evolutionary operation (ROVOP), and some one-factor optimization techniques. In addition two methods for optimizing an existing production process are discussed: evolutionary operation (EVOP) and simplex EVOP. A technique useful in the interpretation of a complex surface is also discussed. This method is called “Ridge Analysis” and the development of this technique is presented and a worked example is given.en
dc.description.degreeMaster of Scienceen
dc.format.extent104 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/76275en
dc.language.isoenen
dc.publisherVirginia Polytechnic Instituteen
dc.relation.isformatofOCLC# 34220431en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1967.G49en
dc.titleSome optimization procedures used in response surface methodologyen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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