## 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 90

Page 120

Determining the Direction of Movement (Step 1 of an Iteration)

nonbasic variable from zero (while ... 4.1, the choice of which nonbasic variable

to

Z ...

Determining the Direction of Movement (Step 1 of an Iteration)

**Increasing**onenonbasic variable from zero (while ... 4.1, the choice of which nonbasic variable

to

**increase**is made as follows: Z = 3*1 + 5jt2**Increase**xxl Rate of improvement inZ ...

Page 158

The "Objective Coefficient" column gives the current value of each coefficient,

and then the next two columns give the allowable

decrease from this value to remain within the allowable range. Therefore, 3-3<c,<

3 + ...

The "Objective Coefficient" column gives the current value of each coefficient,

and then the next two columns give the allowable

**increase**and the allowabledecrease from this value to remain within the allowable range. Therefore, 3-3<c,<

3 + ...

Page 307

Thesi construction projects have been delaying traffic considerably and are likely

to affect the cost of bussing students from area 6, perhaps

much as 1 0 percent. (c) Use die report from part (b) to check how much the ...

Thesi construction projects have been delaying traffic considerably and are likely

to affect the cost of bussing students from area 6, perhaps

**increasing**them asmuch as 1 0 percent. (c) Use die report from part (b) to check how much the ...

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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