W10- LP & Blending Flashcards

1
Q

State the key LP theorem

A

Optimisation Theory

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2
Q

When can LP models be solved on paper?

A

For two-dimensional problems (2 decision variables)

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3
Q

What is non-negativity?

A

Decision variables >=0 (i.e. A >=0)

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4
Q

1st step of LP problem

A

Define decision variables (unknowns)

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5
Q

Objective function form:

A

f(x)=max(profit)=2A+2B (SS8)

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6
Q

What points are computed to find the max/min objective function graphically?

A

FR vertices

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7
Q

What region is the area satisfying the constraints?

A

Feasible Region (FR)

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8
Q

How can the optimal point be determined (after drawing a FR)?

A

Calculate values of decision variables that optimize objective function within FR and compare these.

A feasible solution (that satisfied all constraints) with the largest objective function (for maximization)

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9
Q

How to check on FR that it is optimum?

A

Extremes of min/max occur at vertices of FR so the optimal point matches one of these points

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