Download presentation

Presentation is loading. Please wait.

Published byBraiden Elson Modified over 4 years ago

1
QingPeng (QP) Zhang qpzhang@email.arizona.edu

2
Sensitivity analysis is concerned with how changes in an linear programming’s parameters affect the optimal solution.

3
Profit generated by each soldier $3 Profit generated by each train $2

5
Constraint/ObjectiveSlope Finishing constraint-2 Carpentry constraint-1.5 Objective function Basic variable Basic solution

6
CChange objective function coefficient CChange right-hand side of constraint OOther change options SShadow price TThe Importance of sensitivity analysis

7
How would changes in the problem’s objective function coefficients or the constraint’s right-hand sides change this optimal solution?

8
? ?

13
Change objective function coefficient Change right-hand side of constraint Other change options Shadow price The Importance of sensitivity analysis

16
As long as the binding point (B) of finishing and carpentry constraints is feasible, optimal solution will occur at the binding point.

18
Change objective function coefficient Change right-hand side of constraint Other change options Shadow price The Importance of sensitivity analysis

21
Change objective function coefficient Change right-hand side of constraint Other change options Shadow price The Importance of sensitivity analysis

22
To determine how a constraint’s rhs changes the optimal z-value. The shadow price for the ith constraint of an LP is the amount by which the optimal z-value is improved (increased in a max problem or decreased in a min problem).

24
Change objective function coefficient Change right-hand side of constraint Other change options Shadow price The Importance of sensitivity analysis

26
Deal with the uncertainty about LP parameters

Similar presentations

OK

Chapter 7 Linear Programming Models Part One n Basis of Linear Programming n Linear Program formulati on.

Chapter 7 Linear Programming Models Part One n Basis of Linear Programming n Linear Program formulati on.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google