Some practical aspects of capital budgeting using chance constrained programming

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dc.contributor.advisorDawkins, George S.
dc.contributor.committeeMemberRhodes, Benjamin T., Jr.
dc.contributor.committeeMemberOtto, Gordon H.
dc.contributor.committeeMemberPoage, Scott T.
dc.creatorHoyle, Robert Stephen
dc.date.accessioned2022-10-14T21:08:52Z
dc.date.available2022-10-14T21:08:52Z
dc.date.issued1976
dc.description.abstractThe use of mathematical programming(MP) in capital budgeting(CB) industry practice appears to be rare even though the concept has been in the literature for a number of years and seems well-suited to the problem. The hypothesis is proposed in this thesis that perhaps the inclusion of uncertainty in the MP formulation, via chance constrained programming (C2P), would enhance the industry utilization of MP in CB-since the uncertainty data would better fit the sophistication of a MP approach. A review of some previous CB theoretical works and industries' response to these is presented in order to address some of the practical difficulties in the adoption of more sophisticated CB techniques by industry. [...]
dc.description.departmentIndustrial Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other2690945
dc.identifier.urihttps://hdl.handle.net/10657/12287
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleSome practical aspects of capital budgeting using chance constrained programming
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentIndustrial Engineering, Department of
thesis.degree.disciplineOperations Research
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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