## Introduction to Operations Research, Volume 1CD-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 84

Page 9

Frequently , much of the

Frequently , much of the

**needed**data will not be available when the study begins , either because the information never has been kept or because what was kept is outdated or in the wrong form . Therefore , it often is necessary to ...Page 649

CASE 12.3 STOCKING SETS a Daniel Holbrook , an expeditor at the local warehouse for Furniture City , sighed as he moved boxes and boxes of inventory to the side in order to reach the shelf where the particular item he

CASE 12.3 STOCKING SETS a Daniel Holbrook , an expeditor at the local warehouse for Furniture City , sighed as he moved boxes and boxes of inventory to the side in order to reach the shelf where the particular item he

**needed**was located ...Page 984

Some coordination is

Some coordination is

**needed**between the inventories of any particular product at the different echelons . Since the inventory at each echelon ( except the top one ) is replenished from the next higher echelon , the inventory level ...### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity additional algorithm 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 direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero