## 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 78

Page 517

Note that the

same as the mean durations given in Table 10.4 (Sec. 10.4) when using the

PERT three-

Table ...

Note that the

**estimated**durations of the activities in this figure turn out to be thesame as the mean durations given in Table 10.4 (Sec. 10.4) when using the

PERT three-

**estimate**approach. Now suppose that the pessimistic**estimates**inTable ...

Page 571

She

number of grade points shown in the following table: ... The following table gives

the

She

**estimates**that the alternative allocations for each course would yield thenumber of grade points shown in the following table: ... The following table gives

the

**estimated**increase in sales (in appropriate units) for the different advertising ...Page 1138

also be

because the expected number of customers waiting to be served is n = 2 it can be

also be

**estimated**directly from the results of the simulation run. For example,because the expected number of customers waiting to be served is n = 2 it can be

**estimated**by defining M n = 2 where 7„ is the fofa/ rime that exactly « customers ...### What people are saying - Write a review

User Review - Flag as inappropriate

i

User Review - Flag as inappropriate

I want review this book

### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

44 other sections not shown

### Other editions - View all

### 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