Modeling uncertainty of expert-elicited data for use in risk-based, capital budgeting and underground mine production scheduling optimization models
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Abstract
This dissertation consists of three papers in various stages of publication. The first paper, "Consistent Notation for Presenting Complex Optimization Models in Technical Writing,'' is published in Surveys in Operations Research and Management Science. The topics we discuss are: (i) conventions for defining sets, parameters, and variables, (ii) ways of presenting the objective and constraints, and (iii) means by which to organize formulations as they pertain to mathematical programming. A second paper, "Modeling uncertainty of expert elicitation for use in risk-based optimization,'' is under ...
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Author(s)
Teter, Michael D.
Advisor(s)
Newman, Alexandra M.; Royset, Johannes O.
Date Issued
2016
Format
born digital; doctoral dissertationsCollections
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