## 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 266

4.7 , this

4.7 , this

**range**of values for b2 is referred to as its allowable**range**to stay feasible . For any bị , recall from Sec . 4.7 that its allowable**range**to stay feasible is the**range**of values over which the current optimal BF solution ...Page 299

Then determine the best choice of 0 over this

Then determine the best choice of 0 over this

**range**. Coefficient of : Basic Variable Right Side Eq . Z X1 X2 X3 X5 Z ( 0 ) ( 1 ) ( 2 ) X1 X3 OO - O O 1 1 -1 1 0 0 1 1 3 -1 6.7-26 . Consider the following parametric linear programming ...Page 634

Show profit ( after capital recovery costs are subtracted ) would be $ 4.2 how to reformulate this restriction to fit an MIP model . million per long -

Show profit ( after capital recovery costs are subtracted ) would be $ 4.2 how to reformulate this restriction to fit an MIP model . million per long -

**range**plane , $ 3 million per medium -**range**plane , and $ 2.3 million per short ...### 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

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### 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