## 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 82

Page 494

... of fully crashing the activity in this way as compared to following the normal 8-

time = 8

... of fully crashing the activity in this way as compared to following the normal 8-

**week**schedule, as shown below. Activity J (put up the wallboard): Normal point:time = 8

**weeks**, cost = $430,000. Crash point: time = 6**weeks**, cost = $490,000.Page 503

Since activities D, E, and / all have earliest start times of 16 (16

commencement of the project), they all start in

commence later during the period shown. Columns W through AE give the

weekly ...

Since activities D, E, and / all have earliest start times of 16 (16

**weeks**after thecommencement of the project), they all start in

**week**17, while activities F and Gcommence later during the period shown. Columns W through AE give the

weekly ...

Page 522

Therefore, he and the top management of 21st Century Studios have concluded

that they must accelerate production of their movie and bring it out at the

beginning of the summer (15

year.

Therefore, he and the top management of 21st Century Studios have concluded

that they must accelerate production of their movie and bring it out at the

beginning of the summer (15

**weeks**from now) to establish it as THE movie of theyear.

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

44 other sections not shown

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### Common terms and phrases

activity additional algorithm alternative amount analysis apply assigned assumed basic variable begin BF solution bound calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize maximum mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit weeks