## 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 155

Because the constraint on

Because the constraint on

**resource**1 , x1 = 4 , is not binding on the optimal solution ( 2 , 6 ) , there is a ... the constraints on**resources**2 and 3 , 2x2 = 12 and 3xı + 2x2 = 18 , are binding constraints ( constraints that hold with ...Page 181

( b ) Use graphical analysis to find the shadow prices for the

( b ) Use graphical analysis to find the shadow prices for the

**resources**. ( c ) Determine how many additional units of**resource**1 would be needed to increase the optimal value of Z by 15 . and 4.7-5 . Consider the following problem .Page 241

erates at a strictly positive level ( x ; > 0 ) , the marginal value of the

erates at a strictly positive level ( x ; > 0 ) , the marginal value of the

**resources**it consumes must equal ( as opposed ... The second statement implies that the marginal value of**resource**i is zero ( y ; = 0 ) whenever the supply of ...### What people are saying - Write a review

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

SUPPLEMENT TO CHAPTER | 18 |

Copyright | |

52 other sections not shown

### 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 allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero