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Linear Programming Applications in Services

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Presentation on theme: "Linear Programming Applications in Services"— Presentation transcript:

1 Linear Programming Applications in Services

2 Learning Objectives Describe the features of constrained optimization models. Formulate LP models for computer solution. Solve two-variable models using graphics. Explain the nature of sensitivity analysis. Solve LP models with Excel Add-in Solver and interpret the results. Formulate a goal programming model.

3 Stereo Warehouse Let x = number of receivers to stock
y = number of speakers to stock Maximize 50x + 20y gross profit Subject to 2x + 4y floor space 100x + 50y budget x sales limit x, y

4 Diet Problem Lakeview Hospital
Let E = units of egg custard base in the shake C = units of ice cream in the shake S = units of butterscotch syrup in the shake Minimize Subject to cholesterol fat protein calories

5 Shift-Scheduling Problem Gotham City Police Patrol
Let xi = number of officers reporting at period i for i =1, 2, 3, 4, 5, 6 Minimize x x period 1 x1 + x period 2 x2 + x period 3 x3 + x period 4 x4 + x period 5 x5 + x period 6

6 Workforce-Planning Problem Last National Drive-in Bank
Let Tt = number of trainees hired at the beginning of period t for t = 1,2,3,4,5,6 At = number of tellers available at the beginning of period t Minimize subject to A1 = 12 for t = 2,3,4,5,6 At , Tt and integer for t = 1,2,3,4,5,6

7 Transportation Problem Lease-a-Lemon Car Rental
Let xij = number of cars sent from city i to city j for i = 1,2,3 and j = 1,2,3,4 Minimize x x x33 + 0x34 subject to x11 + x12 + x13 + x = 26 x21 + x22 + x23 + x = 43 x31 + x32 + x33 + x34 = 31 x x x = 32 x x x = 28 x x x = 26 x x x34 = 14 xij for all i , j

8 Graphical Solution Stereo Warehouse
Z=3800 Z=3600 Z=3000 Z=2000 E Optimal solution ( x = 60, y = 40) D C A B

9 Model in Standard Form Let s1 = square feet of floor space not used
s2 = dollars of budget not allocated s3 = number of receivers that could have been sold Maximize Z = 50x + 20y subject to x y + s = 400 (constraint 1) 100x + 50y s = 8000 (constraint 2) x s3 = ( constraint 3) x, y, s1, s2, s

10 Stereo Warehouse Extreme-Point Solutions
Extreme Nonbasic Basic Variable Objective-function point variables variables value value Z A x, y s s s B s3, y s s x C s3, s s y D s1, s s y x E s1, x s y s

11 Sensitivity Analysis Objective-Function Coefficients
z = 50x + 20y (constraint 3 ) D (constraint 1) (constraint 2) C A B

12 Sensitivity Analysis Right-Hand-Side Ranging
(constraint 3 ) D H (constraint 2) C A B I

13 Goal Programming Stereo Warehouse Example
Let x = number of receivers to stock y = number of speakers to stock = amount by which profit falls short of $99,999 = amount by which profit exceeds $99,999 = amount by which floor space used falls short of 400 square feet = amount by which floor space used exceeds 400 square feet = amount by which budget falls short of $8000 = amount by which budget exceeds $8000 = amount by which sales of receivers fall short of 60 = amount by which sales of receivers exceed 60 = priority level with rank k Minimize subject to profit goal floor-space goal budget goal sales-limit goal

14 Topics for Discussion How can the validity of LP models be evaluated?
Interpret the meaning of the opportunity cost for a nonbasic decision variable that did not appear in the LP solution. Explain graphically what has happened when a degenerate solution occurs in an LP problem. Is LP a special case of goal programming? Explain. What are some limitations to the use of LP?


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