## 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 65

Page 879

case except k = 1 ( exponential

case except k = 1 ( exponential

**distribution**) , which has o = 1 / u . To illustrate a typical situation where o > 1 / u can occur , we suppose that the service involved in the queueing system is the repair of some kind of machine or ...Page 1146

Obtaining uniform random numbers as instructed at the beginning of the Problems section , generate four random observations from an exponential

Obtaining uniform random numbers as instructed at the beginning of the Problems section , generate four random observations from an exponential

**distribution**with mean = 1. Then use these four observations to generate one random ...Page 1149

Compare this average with the true mean of the

Compare this average with the true mean of the

**distribution**. ( h ) The drawbacks of the approach described in part ( a ) are that ( 1 ) it does not ensure that the repair times for both minor repairs and major repairs are adequately ...### 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 |

SUPPLEMENT TO CHAPTER | 18 |

Copyright | |

52 other sections not shown

### Other editions - View all

### 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 constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region 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 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 unit values weeks Wyndor Glass zero