## 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 81

Page xxiv

3.6 describes and

3.6 describes and

**illustrates**how to use Excel and its Solver to formulate and solve linear programming models on a spreadsheet . ... These files also**illustrate**how MPL and CPLEX can be integrated with spreadsheets .Page 87

The last use above

The last use above

**illustrates**that this function can be placed on the left of an assignment statement to place solution results into the spreadsheet ... Let us**illustrate**the ODBC connection for our little product - mix example .Page 628

To

To

**illustrate**this technique , consider the California Manufacturing Co. pure BIP problem presented in Sec . 12.1 and used to**illustrate**the BIP branch - and - bound algorithm in Sec . 12.6 . The optimal solution for its LP 628 INTEGER ...### 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 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