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Linear Programming

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LET: X1 = Pounds Of Compost. X2 = Pounds Of Sewage. MIN COST = .05 X1 .04X2. SUBJECT TO: ... 1x1 30 (compost) X1. Optimal solution (30,30) A. B. C. Corner ... – PowerPoint PPT presentation

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Title: Linear Programming


1
Linear Programming
2
Problem Categories LP Methods
3
Linear Programming
Aggregate planning Production,
Staffing Distribution Shipping Inventory Stock
control, Supplier selection Location Plants or
warehouses Process management Stock
cutting Scheduling Shifts, Vehicles, Routing
4
(No Transcript)
5
Basic Concepts
  • Objective function
  • Decision variables
  • Constraints
  • Feasible region
  • Parameters
  • Linearity
  • Nonnegativity
  • Divisibility

6
Graphical Linear Programming
  • Define the decision variables
  • Define the objective function
  • Formulate the constraints
  • Plot the constraints
  • Identify the feasible solution space
  • Plot the objective function (or find the corner
    points)
  • Determine the optimum solution using the
    objective function (or corner points)

7
Sweet SmellFertilizer Company
8
FORMULATIONSweet Smell Company
  • LET X1 Pounds Of Compost
  • X2 Pounds Of Sewage
  • MIN COST .05 X1 .04X2
  • SUBJECT TO
  • 1X1 1X2 gt 60 (dry weight)
  • 1X1 gt 30 (compost minimum)
  • 1X2 lt 40 (sewage maximum)

9
Linear Programming
X2
80 70 60 50 40 30 20 10 0
1x1 gt 30 (compost)
(0, 60)
1x2 lt 40 (sewage)
A
Optimal solution (30,30)
B
1x1 1x2 gt 60 (mix)
(60, 0)
10 20 30 40 50 60 70 80
X1
C
10
Corner Point Solution
  • MIN COST .05X1 .04X2
  • (A) 3.10 .05(30) .04(40)
  • (B) 2.70 .05(30) .04(30)
  • (C) 3.00 .05(60) .04(0)
  • (B) OPTIMAL SOLUTION
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