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Process control: a dynamic programming approach

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dc.contributor.authorBeverly, William Howarden
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.date.accessioned2015-07-28T20:42:12Zen
dc.date.available2015-07-28T20:42:12Zen
dc.date.issued1974en
dc.description.abstractIn this thesis, a cost based process control model is formulated. A dynamic programming approach is used and along with the techniques of Bayesian decision theory, an optimal set of steady state control policies are shown to exist which are dependent upon prior beliefs about the condition of the process. It is the objective of this thesis to compare the results obtained from this approach to those of an X̅ control chart approach. The model proposed by Knappenberger and Grandage [20] is used as a basis for comparison. Numerical examples are used to illustrate each procedure. The results obtained illustrate that by using the operating policies specified by the dynamic approach, a savings of from 29% to 40% in the optimal cost per unit to operate the quality control procedure can be achieved rather than utilizing the policies of the X̅ control chart model.en
dc.description.degreeMaster of Scienceen
dc.format.extentvii, 126 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/54835en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 21997149en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1974.B47en
dc.subject.lcshProcess control -- Computer programsen
dc.subject.lcshComputer programmingen
dc.titleProcess control: a dynamic programming approachen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial Engineering and Operations Researchen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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