## 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. |

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Page 181

4.10 and the resulting allowable range to stay feasible for the

4.10 and the resulting allowable range to stay feasible for the

**respective**right - hand sides of the Wyndor Glass Co. problem given in Sec . 3.1 . Use graphical analysis to demon- strate that each given allowable range is correct .Page 300

Let x4 and xs be the slack variables for the

Let x4 and xs be the slack variables for the

**respective**functional constraints . After we apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect ...Page 393

The unit manufacturing cost of the first product would be $ 31 , $ 29 , $ 32 , $ 28 , and $ 29 in Plants 1 , 2 , 3 , 4 , and 5 ,

The unit manufacturing cost of the first product would be $ 31 , $ 29 , $ 32 , $ 28 , and $ 29 in Plants 1 , 2 , 3 , 4 , and 5 ,

**respectively**. The unit manufacturing cost of the second product would be $ 45 ...### What people are saying - Write a review

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### 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