## 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 |

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Results 1-3 of 84

Page 97

Investments A and B are available at the beginning of each of small — that yield

a net unit

to 5 ) . Each dollar invested in spectively . Plants 1 , 2 , and 3 have the excess ...

Investments A and B are available at the beginning of each of small — that yield

a net unit

**profit**of $ 420 , $ 360 , and $ 300 , rethe next 5 years ( call them years 1to 5 ) . Each dollar invested in spectively . Plants 1 , 2 , and 3 have the excess ...

Page 155

It also is very helpful when an increase in bị can be achieved only by going

outside the organization to purchase more of the resource in the marketplace .

For example , suppose that Z represents

activities ...

It also is very helpful when an increase in bị can be achieved only by going

outside the organization to purchase more of the resource in the marketplace .

For example , suppose that Z represents

**profit**and that the unit**profits**of theactivities ...

Page 791

About 90 percent of the boxes of fruit turn out to be of satisfactory quality , but the

other 10 percent are unsatisfactory . A satisfactory box contains 80 percent

excellent fruit and will earn $ 200

30 ...

About 90 percent of the boxes of fruit turn out to be of satisfactory quality , but the

other 10 percent are unsatisfactory . A satisfactory box contains 80 percent

excellent fruit and will earn $ 200

**profit**for Jose . An unsatisfactory box contains30 ...

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### 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