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Sensitivity Analysis

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... will a change in the right-hand side value for a constraint affect ... From the left-hand inequality, we have. 0 = (CP1/8) Thus, 0 = CP1. Linear Programming ... – PowerPoint PPT presentation

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Title: Sensitivity Analysis


1
Sensitivity Analysis
  • How will a change in a coefficient of the
    objective function affect the optimal solution?
  • How will a change in the right-hand side value
    for a constraint affect the optimal solution?

2
Pet Food Co. Linear Equations
3
Pet Food Co. Graph Solution
Line 3
Line 2
4
Pet Food Co. Optimal Solution
  • Extreme Point is optimal if
  • Slope of Line 3 lt Slope of objective function lt
    Slope of Line 2

5
Pet Food Co. Calculate Slope of Line 3
  • 1P1 1P2 gt 500
  • 1P2 gt -1P1 500
  • P2 gt -P1 500
  •  
  • Slope of Intercept of
  • Line 3 Line 3 on P2 axis

6
Pet Food Co. Calculate Slope of Line 2
  • 0P1 1P2 gt 200
  • 1P2 gt -0P1 200
  •  
  • Slope of Intercept of
  • Line 2 Line 2 on P2 axis

7
Pet Food Co. Optimal Solution
  • Extreme Point 4 is optimal if
  • -1 lt Slope of objective function lt 0

8
Calculating Slope-Intercept
  • General form of objective function
  • Z CP1P1 CP2P2
  • Slope-intercept for objective function
  • P2 -(CP1/CP2) P1 Z/CP2
  • Slope of Intercept of
  • Obj. Function Obj. Function on x2 axis

9
Pet Food Co. Optimal Solution
  • Extreme Point is optimal if
  • -1 lt -(CP1/CP2) lt 0
  • Or
  • 0 lt (CP1/CP2) lt 1

10
Pet Food Co. Compute the Range of Optimality
  • Extreme Point is optimal if
  • 0 lt (CP1/CP2) lt 1
  • Compute range for CP1, hold CP2 constant
  • 0 lt (CP1/8) lt 1

11
Pet Food Co. Compute the Range of Optimality
  • From the left-hand inequality, we have
  • 0 lt (CP1/8)
  • Thus,
  • 0 lt CP1

12
Pet Food Co. Compute the Range of Optimality
  • From the right-hand inequality, we have
  • (CP1/8) lt 1
  • Thus,
  • CP1 lt 8

13
Pet Food Co. Compute the Range of Optimality
  • Summarizing these limits
  • 0 lt CP1 lt 8

14
Pet Food Co. Compute the Range of Optimality
  • Extreme Point is optimal if
  • 0 lt (CP1/CP2) lt 1
  • Compute range for CP2, hold CP1 constant
  • 0 lt (5/CP2) lt 1

15
Pet Food Co. Compute the Range of Optimality
  • From the left-hand inequality, we have
  • 0 lt (5/CP2)
  • Thus,
  • (1/5) 0 lt (1/CP2)
  • Invert
  • 5/0 gt CP2
  • Division by zero is undefined (infinite).
  • This means the cost of P2 can increase to
    infinity without changing the optimal solution

16
Pet Food Co. Compute the Range of Optimality
  • From the right-hand inequality, we have
  • (5/CP2) lt 1
  • Thus,
  • CP2 gt 5

17
Pet Food Co. Compute the Range of Optimality
  • Summarizing these limits
  • 0 lt CP1 lt 8
  • 5 lt CP2 lt Infinite

18
Sensitivity Analysis
  • How will a change in a coefficient of the
    objective function affect the optimal solution?
  • How will a change in the right-hand side value
    for a constraint affect the optimal solution?

19
Pet Food Company Graph Solution
Line 3
Line 2
20
Pet Food Co. Range of Feasibility
  • Constraint 1 is not binding
  • Therefore, the shadow price is zero
  • Slack is 100
  • Range of Feasibility
  • 300 lt Constraint 1 RHS lt Infinite

21
Pet Food Co. Change in the Right-hand Side
  • Constraint 2 add 1 to right-hand side
  • 0P1 1P2 gt 201
  • 1P1 1P2 gt 500
  • Solve for P1
  • -1(0P1 1P2 201)
  • 1P1 1P2 500
  • P1 299
  • Solve for P2
  • 1(299) 1P2 gt 500
  • P2 201

22
Pet Food Co. Change in the Right-hand Side
  • Solve objective function
  • z 5(299) 8(201)
  • z 3103
  • Shadow Price
  • 3103 3100 3
  • Thus cost increases at 3.00 per lb. added of P2
    per batch
  • Conversely, if we decrease lbs. of P2 per batch
    by 1 the objective function will decrease by 3.00

23
Pet Food Co. Range of Feasibility
  • Constraint 2 RHS 200
  • Allowable Increase 300
  • Allowable Decrease 100
  • Range of Feasibility
  • 100 lt Constraint 2 RHS lt 500

24
Pet Food Co. Change in the Right-hand Side
  • Constraint 3 add 1 to right-hand side
  • 0P1 1P2 gt 200
  • 1P1 1P2 gt 501
  • Solve for P1
  • -1(0P1 1P2 200)
  • 1P1 1P2 501
  • P1 301
  • Solve for P2
  • 1(301) 1P2 gt 501
  • P2 200

25
Pet Food Co. Change in the Right-hand Side
  • Solve objective function
  • z 5(301) 8(199)
  • z 3097
  • Shadow Price
  • 3105 3100 5
  • Thus cost increases at 5.00 per lb. added of P2
    per batch
  • Conversely, if we decrease lbs. of P2 per batch
    by 1 the objective function will decrease by 5.00

26
Pet Food Co. Range of Feasibility
  • Constraint 3 RHS 500
  • Allowable Increase 100
  • Allowable Decrease 300
  • Range of Feasibility
  • 200 lt Constraint 3 RHS lt 600

27
Pet Food Co. Linear Equations Slack/ Surplus
Variables
  • Min
  • 5P1 8P2 0S1 0S2 0S3
  • s.t.
  • 1P1 1S1
    400
  • 1P2 - 1S2
    200
  • 1P1 1P2 - 1S3
    500
  • P1, P2, S1 ,S2 ,S3 gt 0

28
Pet Food Co. Slack Variables
  • For each constraint the difference between the
    RHS and LHS (RHS-LHS). It is the amount of
    resource left over.
  • Constraint 1 S1 100 lbs.

29
Pet Food Co. Surplus Variables
  • For each constraint the difference between the
    LHS and RHS (LHS-RHS). It is the amount bt which
    a minimum requirement is exceeded.
  • Constraint 2 S2 0 lbs.
  • Constraint 3 S3 0 lbs.

30
Pet Food Co. Constraint Limits
  • Range of Feasibility
  • 300 lt Constraint 1 lt Infinite
  • 100 lt Constraint 2 lt 500
  • 200 lt Constraint 3 lt 600
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