## Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |

### From inside the book

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Page 9

Frequently , much of the

, 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is outdated or in the wrong form .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 install a new

...

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is outdated or in the wrong form .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 install a new

...

Page 649

CASE 12.3 STOCKING SETS 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

located .

CASE 12.3 STOCKING SETS 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**waslocated .

Page 984

Some coordination is

the different echelons . Since the inventory at each echelon ( except the top one )

is replenished from the next higher echelon , the inventory level currently ...

Some coordination is

**needed**between the inventories of any particular product atthe different echelons . Since the inventory at each echelon ( except the top one )

is replenished from the next higher echelon , the inventory level currently ...

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### 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 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