business mathematics u2w6ol rétallér orsi

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Business Mathematics Business Mathematics www.uni-corvinus.hu/~u2w6ol Rétallér Orsi

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Page 1: Business Mathematics u2w6ol Rétallér Orsi

Business MathematicsBusiness Mathematicswww.uni-corvinus.hu/~u2w6ol

Rétallér Orsi

Page 2: Business Mathematics u2w6ol Rétallér Orsi

Graphical solutionGraphical solution

Page 3: Business Mathematics u2w6ol Rétallér Orsi

The problemThe problem

max z = 3x1 + 2x2

2x1 + x2 ≤ 100

x1 + x2 ≤ 80

x1 ≤ 40

x1 ≥ 0

x2 ≥ 0

Page 4: Business Mathematics u2w6ol Rétallér Orsi

Graphical solutionGraphical solution

Feasible region

Page 5: Business Mathematics u2w6ol Rétallér Orsi

Is there always one Is there always one solution?solution?

Page 6: Business Mathematics u2w6ol Rétallér Orsi

Possible LP solutionsPossible LP solutions

One optimumAlternative optimums (Infinite

solutions)InfeasibilityUnboundedness

Page 7: Business Mathematics u2w6ol Rétallér Orsi

Possible LP solutionsPossible LP solutions

One optimumAlternative optimums (Infinite

solutions)InfeasibilityUnboundedness

Page 8: Business Mathematics u2w6ol Rétallér Orsi

Possible LP solutionsPossible LP solutions

One optimumAlternative optimums (Infinite

solutions)InfeasibilityUnboundedness

Page 9: Business Mathematics u2w6ol Rétallér Orsi

Alternative optimumAlternative optimum

max z = 4x1 + x2

8x1 + 2x2 ≤ 16

5x1 + 2x2 ≤ 12

x1 ≥ 0

x2 ≥ 0

Page 10: Business Mathematics u2w6ol Rétallér Orsi

Alternative optimumAlternative optimum

Page 11: Business Mathematics u2w6ol Rétallér Orsi

Possible LP solutionsPossible LP solutions

One optimumAlternative optimums (Infinite

solutions)InfeasibilityUnboundedness

Page 12: Business Mathematics u2w6ol Rétallér Orsi

InfeasibilityInfeasibility

max z = x1 + x2

x1 + x2 ≤ 4

x1 - x2 ≥ 5

x1 ≥ 0

x2 ≥ 0

Page 13: Business Mathematics u2w6ol Rétallér Orsi

InfeasibilityInfeasibility

Page 14: Business Mathematics u2w6ol Rétallér Orsi

Possible LP solutionsPossible LP solutions

One optimumAlternative optimums (Infinite

solutions)InfeasibilityUnboundedness

Page 15: Business Mathematics u2w6ol Rétallér Orsi

UnboundednessUnboundedness

max z = -x1 + 3x2

x1 - x2 ≤ 4

x1 + 2x2 ≥ 4

x1 ≥ 0

x2 ≥ 0

Page 16: Business Mathematics u2w6ol Rétallér Orsi

UnboundednessUnboundedness

Page 17: Business Mathematics u2w6ol Rétallér Orsi

Sensitivity analysisSensitivity analysis

Page 18: Business Mathematics u2w6ol Rétallér Orsi

Sensitivity analysisSensitivity analysis

When is the yellow point the optimal solution?

Page 19: Business Mathematics u2w6ol Rétallér Orsi

Sensitivity analysisSensitivity analysis

Page 20: Business Mathematics u2w6ol Rétallér Orsi

The problemThe problem

max z = 3x1 + 2x2

2x1 + x2 ≤ 100

x1 + x2 ≤ 80

x1 ≤ 40

x1 ≥ 0

x2 ≥ 0

2x1 + x2 = 100

x1 + x2 = 80

Page 21: Business Mathematics u2w6ol Rétallér Orsi

Sensitivity analysisSensitivity analysis

2x1 + x2 = 100

x1 + x2 = 80Range of optimality:

[1;2]

Page 22: Business Mathematics u2w6ol Rétallér Orsi

Duality theoremDuality theorem

Page 23: Business Mathematics u2w6ol Rétallér Orsi

Problem – WinstonProblem – Winston

The Dakota Furniture Company manufactures desks, tables, and chairs. The manufacture of each type of furniture requires lumber and two types of skilled labor: finishing and carpentry. The amount of each resource needed to make each type of furniture is given in the following table.

Page 24: Business Mathematics u2w6ol Rétallér Orsi

Resource Desk Table Chair

Lumber (board ft)

8 6 1

Finishing(hours)

4 2 1,5

Carpentry(hours)

2 1,5 0,5

Problem – WinstonProblem – Winston

Page 25: Business Mathematics u2w6ol Rétallér Orsi

Problem – WinstonProblem – Winston

At present, 48 board feet of lumber, 20 finishing hours, and 8 carpentry hours are available. A desk sells for $60, a table for $30, and a chair for $20. Since the available resources have already been purchased, Dakota wants to maximize total revenue.

Page 26: Business Mathematics u2w6ol Rétallér Orsi

Formalizing the problemFormalizing the problem

8x1 + 6x2 + 1x3 ≤ 48

4x1 + 2x2 + 1,5x3 ≤ 20

2x1 + 1,5x2 + 0,5x3 ≤ 8

x1, x2, x3≥ 0

max z = 60x1 + 30x2 + 20x3

Page 27: Business Mathematics u2w6ol Rétallér Orsi

The new problemThe new problem

For how much could a company buy all the resources of the Dakota company?

(Dual task)

The prices for the resources are indicated as y1, y2, y3

Page 28: Business Mathematics u2w6ol Rétallér Orsi

Resource Desk Table Chair

Lumber (board ft)

8 6 1

Finishing(hours)

4 2 1,5

Carpentry(hours)

2 1,5 0,5

Problem – WinstonProblem – Winston

Page 29: Business Mathematics u2w6ol Rétallér Orsi

The primal problemThe primal problem

8x1 + 6x2 + 1x3 ≤ 48

4x1 + 2x2 + 1,5x3 ≤ 20

2x1 + 1,5x2 + 0,5x3 ≤ 8

x1, x2, x3≥ 0

max z = 60x1 + 30x2 + 20x3

Page 30: Business Mathematics u2w6ol Rétallér Orsi

The dual problemThe dual problem

min w = 48y1 + 20y2 + 8y3

Page 31: Business Mathematics u2w6ol Rétallér Orsi

Resource Desk Table Chair

Lumber (board ft)

8 6 1

Finishing(hours)

4 2 1,5

Carpentry(hours)

2 1,5 0,5

Problem – WinstonProblem – Winston

Page 32: Business Mathematics u2w6ol Rétallér Orsi

The primal problemThe primal problem

8x1 + 6x2 + 1x3 ≤ 48

4x1 + 2x2 + 1,5x3 ≤ 20

2x1 + 1,5x2 + 0,5x3 ≤ 8

x1, x2, x3≥ 0

max z = 60x1 + 30x2 + 20x3

Page 33: Business Mathematics u2w6ol Rétallér Orsi

The dual problemThe dual problem

min w = 48y1 + 20y2 + 8y3

8y1 + 4y2 + 2y3 ≥ 60

Page 34: Business Mathematics u2w6ol Rétallér Orsi

The dual problemThe dual problem

8y1 + 4y2 + 2y3 ≥ 60

6y1 + 2y2 + 1,5y3 ≥ 30

1y1 + 1,5y2 + 0,5y3 ≥ 20

y1, y2, y3 ≥ 0

min w = 48y1 + 20y2 + 8y3

Page 35: Business Mathematics u2w6ol Rétallér Orsi

Traditional minimum taskTraditional minimum task

2x1 + 3x2 ≥ 2

2x1 + x2 ≥ 4

x1 – x2 ≥ 6

x1, x2 ≥ 0

min z = 5x1 + 2x2

2y1 + 2y2 + y3 ≤ 5

3y1 + y2 – y3 ≤ 2

y1, y2, y3 ≥ 0

max w = 2y1 + 4y2 + 6y3

Page 36: Business Mathematics u2w6ol Rétallér Orsi

Traditional minimum taskTraditional minimum task

2x1 + 3x2 ≥ 2

2x1 + x2 ≥ 4

x1 – x2 ≥ 6

x1, x2 ≥ 0

min z = 5x1 + 2x2

2y1 + 2y2 + y3 ≤ 5

3y1 + y2 – y3 ≤ 2

y1, y2, y3 ≥ 0

max w = 2y1 + 4y2 + 6y3

Page 37: Business Mathematics u2w6ol Rétallér Orsi

A little help for dualityA little help for duality

Page 38: Business Mathematics u2w6ol Rétallér Orsi

Nontraditional minimum Nontraditional minimum tasktask

x1 + 2x2 + x3 ≥ 2

x1 – x3 ≥ 1

x2 + x3 = 1

2x1 + x2 ≤ 3

x1 ur, x2, x3 ≥ 0

min z = 2x1 + 4x2 + 6x3

Page 39: Business Mathematics u2w6ol Rétallér Orsi

Nontraditional minimum Nontraditional minimum tasktask

y1 + y2 + y4 = 2

2y1 + y3 + y4 ≤ 4

y1 – y2 + y3 ≤ 6

y1, y2 ≥ 0, y3 ur, y4 ≤ 0

max w = 2y1 + y2 + y3 + 3y4

Page 40: Business Mathematics u2w6ol Rétallér Orsi

Thank you for your Thank you for your attention!attention!