Chapter12 Flashcards

1
Q

What is Operations Research?

A

Operations Research is model-based decision support.

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2
Q

What are the key competencies in Operations Research?

A
  • Model design (Modeling)
  • Model solving (Mathematics of OR)
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3
Q

What are models in Operations Research?

A
  • Idealizations or abstractions of parts of reality
  • Used to obtain information about consequences of actions
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4
Q

What are the most important characteristics of a good model?

A
  • Relevance: Are the problems of interest to the decision maker?
  • Validity: Can the results of the model and their interpretation be trusted?
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5
Q

What is an evaluation model?

A

A formal model that allows to evaluate each decision alternative with respect to its consequences.

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6
Q

What is an optimization model?

A

An optimization model determines the best alternatives based on a desired consequence (outcome).

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7
Q

What is the mathematical structure of an optimization model?

A

Maximize f(x₁, …, xn) subject to gj(x₁, …, xn) ≥ 0, where f is the objective function and g₁,…,gk are constraints.

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8
Q

What are the dimensions of optimization models?

A
  • Few variables (<20) or many variables
  • Continuous or integer variables
  • Deterministic or probabilistic
  • Linear or non-linear
  • Static or dynamic
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9
Q

What are decision variables in Linear Programming?

A

The decision variables represent the amount of each activity to perform. For example: x₁ is the amount of coal A burnt per hour.

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10
Q

What is the objective function in Linear Programming?

A

The objective function in LP is the expression to maximize or minimize based on the activities, e.g., z = 24x₁ + 20x₂.

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11
Q

What is a feasible solution?

A

A solution that satisfies all constraints simultaneously, including non-negativity constraints.

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12
Q

What is the canonical form of a Linear Program?

A

Maximize z = Σcjxj subject to Σaijxj ≤ bi, where xj ≥ 0 and cj, aij, and bi are constants.

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13
Q

What is the purpose of slack variables in LP?

A

Slack variables convert inequalities into equalities and represent unused resources in a problem.

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14
Q

What is shadow price in sensitivity analysis?

A

The shadow price is the rate of change of the objective function concerning changes in the right-hand side of a constraint.

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