## 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

Results 1-3 of 74

Page 18

Because these future users ( IBM managers in functional areas responsible for

implementation of the inventory system ) were skeptical about the system being

to ...

Because these future users ( IBM managers in functional areas responsible for

implementation of the inventory system ) were skeptical about the system being

**developed**, representatives were appointed to a user team to serve as advisersto ...

Page 782

( b )

corresponding Excel add - in listed above can be used . alternative ... ( c )

Referring to the graph

crossover point .

( b )

**Develop**a graph that plots the expected payoff for each of the A : Thecorresponding Excel add - in listed above can be used . alternative ... ( c )

Referring to the graph

**developed**in part ( b ) , use algebra to solve for thecrossover point .

Page 799

If this research were successful , we then would have to decide if we want to

of our ...

If this research were successful , we then would have to decide if we want to

**develop**a product based on these results - or ... If we decide not to market the**developed**product , we could at least sell the product concept that was the resultof our ...

### What people are saying - Write a review

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

### Other editions - View all

### Common terms and phrases

activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution 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 mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff 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 waiting weeks