## Introduction to Operations ResearchCD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |

### From inside the book

Results 1-3 of 86

Page 130

The model probably has been misformulated , either by omitting relevant constraints or by stating them incorrectly . Al- ternatively , a computational mistake may have occurred . Multiple

The model probably has been misformulated , either by omitting relevant constraints or by stating them incorrectly . Al- ternatively , a computational mistake may have occurred . Multiple

**Optimal**Solutions We mentioned in Sec .Page 278

With the current value of c2 = 3 , the

With the current value of c2 = 3 , the

**optimal**solution is ( 4,3 ) . When c2 is increased , this solution remains**optimal**only for c2 ≤ 4. For c2 = 4 , ( 0 , 2 ) becomes**optimal**( with a tie at c2 = 4 ) , because of the constraint ...Page 1082

Use the re- sulting

Use the re- sulting

**optimal**solution to identify an**optimal**policy . 21.3-4 . Reconsider Prob . 21.2-4 . ( a ) Formulate a linear programming model for finding an**optimal**policy . c ( b ) Use the simplex method to solve this model .### What people are saying - Write a review

Reviews aren't verified, but Google checks for and removes fake content when it's identified

User Review - Flag as inappropriate

i

User Review - Flag as inappropriate

I want review this book

### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero