## 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 81

Page 75

1,000 plant balance constraints (one for each combination of a plant, product,

and month):

sales + current inventory +

the sum ...

1,000 plant balance constraints (one for each combination of a plant, product,

and month):

**Amount**produced + inventory last month +**amount**shipped in =sales + current inventory +

**amount**shipped out, where the**amount**produced isthe sum ...

Page 106

Determine the

week given this new iron requirement. (d) Maria learns that the wholesaler has a

surplus of green beans and is therefore selling the green beans for a lower ...

Determine the

**amount**of potatoes and green beans Maria should purchase eachweek given this new iron requirement. (d) Maria learns that the wholesaler has a

surplus of green beans and is therefore selling the green beans for a lower ...

Page 574

For each match, he will have the opportunity to place an even bet that he will win;

the

money he still has left after the bets on the preceding matches. For each match ...

For each match, he will have the opportunity to place an even bet that he will win;

the

**amount**bet can be any quantity of his choice between zero and the**amount**ofmoney he still has left after the bets on the preceding matches. For each match ...

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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