## 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. |

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Page 489

The

critical path if the duration of each activity equals its

critical path is STAKT->A-»B^>C-»E^>F^>J^>I^>N^>FINISH, as highlighted in Fig

. 10.7 ...

The

**mean**critical path is the path through the project network that would be thecritical path if the duration of each activity equals its

**mean**. Reliable's**mean**critical path is STAKT->A-»B^>C-»E^>F^>J^>I^>N^>FINISH, as highlighted in Fig

. 10.7 ...

Page 491

Approximating the Probability of Meeting the Deadline Let T = project duration (in

weeks), which has (approximately) a normal distribution with

variance ap = 9, d = deadline for the project = 47 weeks. Since the standard ...

Approximating the Probability of Meeting the Deadline Let T = project duration (in

weeks), which has (approximately) a normal distribution with

**mean**fxp = 44 andvariance ap = 9, d = deadline for the project = 47 weeks. Since the standard ...

Page 930

(h) Assume now that the

square root of its size. What should the size be to minimize expected total cost

per hour? 18.4-14. Trucks arrive at a warehouse according to a Poisson process

with a ...

(h) Assume now that the

**mean**service rate of the crew is proportional to thesquare root of its size. What should the size be to minimize expected total cost

per hour? 18.4-14. Trucks arrive at a warehouse according to a Poisson process

with a ...

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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