Simulation & Optimization: Linear Optimization - Final Exam

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24 Terms

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What are decision variables?

The choices you control

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What is objective?

What you’re trying to minimize or maximize

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What are constraints?

The rules/limits you must follow

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T/F: You can exceed the demand/capacity.

False

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How else could you describe the objective?

a straight-line (linear) formula of the variables

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How else could you describe the constraint(s)?

straight-line (linear) formulas

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What is the first step in linear optimization?

Define your decision variables (e.g., Regular and Discount tickets for a flight would be R = how many regular seats to sell and D = how many discount seats to sell)

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What is the second step in linear optimization?

Figuring out how much of a decision variable(s) you need in order to minimize or maximize something (e.g., choosing how many regular and discount seats to sell to make the most money)

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What is the third step in linear optimization?

Figuring out what are your constraints (non-negative and doesn’t exceed demand/capacity)

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What is a greedy approach in this airline seat problem, and is it always optimal?

Greedy = fill seats with the highest-price demand first. It can be feasible, but it’s usually NOT optimal

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