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This study guide provides an overview of the key topics and formulations for the upcoming midterm exam in operations research and linear programming. Topics include critical path models, integer programming models, and using excel/solver for formulations. Learn how to specify decision variables, formulate constraints, and objective functions for various types of models.
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Formulation problem Specify decision variables; specify which are integer, binary or continuous Formulate constraints Formulate the objective function to be maximized or minimized Word problem with partially complete spreadsheet model Fill in cells of complete model Specify changing cells, target cell, constraints (including binary’ or
integer’ constraints) Remember, you are allowed One cram sheet in your own handwriting Calculator No other open materials
Critical Path Models Identification of project stages Constraints associated with each activity Crash Integer Programming Models Definition of integer and binary variables Fixed charge models, logical upper and lower bounds Logical constraints (one of N possibilities must or may be true, etc.) Knapsack constraints Covering constraints Bin packing models Mixed-integer models Formulation in Excel/Solver SUM and SUMPRODUCT functions Relative and absolute references Use of Solver (target cell, changing cells, constraints, non-negative variables, integer and binary variables)