## 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 79

Page 511

Dealing with Overlapping Activities Another key assumption of PERT / CPM is

that an activity cannot

finished . Although this may appear to be a perfectly reasonable assumption , it

too ...

Dealing with Overlapping Activities Another key assumption of PERT / CPM is

that an activity cannot

**begin**until all its immediate predecessors are completelyfinished . Although this may appear to be a perfectly reasonable assumption , it

too ...

Page 583

Scheduling Interrelated Activities We all schedule interrelated activities in our

everyday lives , even if it is just scheduling when to

assignments . So too , managers must schedule various kinds of interrelated ...

Scheduling Interrelated Activities We all schedule interrelated activities in our

everyday lives , even if it is just scheduling when to

**begin**our various homeworkassignments . So too , managers must schedule various kinds of interrelated ...

Page 880

In other words , customers are selected to

priority classes , but on a first - come - firstserved basis within each priority class .

A Poisson input process and exponential service times are assumed for each

priority ...

In other words , customers are selected to

**begin**service in the order of theirpriority classes , but on a first - come - firstserved basis within each priority class .

A Poisson input process and exponential service times are assumed for each

priority ...

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### Contents

SUPPLEMENT TO APPENDIX 3 | 3 |

Problems | 6 |

An Algorithm for the Assignment Problem | 18 |

Copyright | |

59 other sections not shown

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### Common terms and phrases

activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables nonnegative objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion transportation unit values weeks Wyndor Glass zero