{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/76275"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/76275","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Some optimization procedures used in response surface methodology","abstract":"This 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.","abstract_html":"This 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.","abstract_has_math":false,"creators":["Glenn, Bruce R."],"institution":"Virginia Polytechnic Institute","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Statistics","degree_department":"Statistics","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1967,"date_issued":"1967","date_published":"1967","updated_at":"2026-07-22T22:19:22Z","subjects":[],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10919/76275","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Statistics"]},{"key":"dc:creator","label":"Author","values":["Glenn, Bruce R."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-03-10T20:47:53Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-03-10T20:47:53Z"]},{"key":"dc:date.issued","label":"Date","values":["1967"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Polytechnic Institute"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Statistics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/76275"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis is a literature survey into selected optimization topics of response surface methodology. 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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. 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