## 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 31

Page 153

We nearly always have to solve again several times during the model debugging

stage (

number of times during the later stages of postoptimality analysis as well .

We nearly always have to solve again several times during the model debugging

stage (

**described**in Secs . 2 . 3 and 2 . 4 ) , and we usually have to do so a largenumber of times during the later stages of postoptimality analysis as well .

Page 254

As

sensitivity analysis for the primal problem then is conducted by applying the

procedure

then inferring ...

As

**described**in Secs . 4 . ... When the solution has been found in this way ,sensitivity analysis for the primal problem then is conducted by applying the

procedure

**described**in the next two sections directly to the dual problem andthen inferring ...

Page 838

The only essential requirement for queueing theory to be applicable is that

changes in the number of customers waiting for a given service occur just as

though the physical situation

) ...

The only essential requirement for queueing theory to be applicable is that

changes in the number of customers waiting for a given service occur just as

though the physical situation

**described**in Fig . 17 . 2 ( or a legitimate counterpart) ...

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

57 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 calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate 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 resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero