## 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 68

Page 144

Initialization : Revise the constraints of the original problem by introducing

artificial variables as needed to

solution

problem .

Initialization : Revise the constraints of the original problem by introducing

artificial variables as needed to

**obtain**an obvious initial BF ... The optimalsolution

**obtained**for this problem ( with Z = 0 ) will be a BF solution for the realproblem .

Page 306

( f ) For the optimal solution

the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the

family's monetary worth would be at the end of the year if each of the other five ...

( f ) For the optimal solution

**obtained**under each of the six scenarios [ includingthe good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the

family's monetary worth would be at the end of the year if each of the other five ...

Page 886

Being able to use the MIM / s model to

each facility independently , rather than ... customers at facility 1 , na customers at

facility 2 , ... , then , is the product of the individual probabilities

Being able to use the MIM / s model to

**obtain**all measures of performance foreach facility independently , rather than ... customers at facility 1 , na customers at

facility 2 , ... , then , is the product of the individual probabilities

**obtained**in this ...### What people are saying - Write a review

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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