## 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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Page 494

Activity I ( put up the wallboard ) : Normal point : time = 8

. ... Cost per

Activity I ( put up the wallboard ) : Normal point : time = 8

**weeks**, cost = $ 430,000. ... Cost per

**Week**Saved Activity Normal Crash Normal Crash А B C D E F G H 2**weeks**4**weeks**10**weeks**6**weeks**4**weeks**5**weeks**7**weeks**9**weeks**7**weeks**...Page 519

I ( c ) Find the approximate probability that the project will finish within 100

. ( d ) Is the approximate probability obtained in part ( c ) likely to be higher or

lower than the true value ? Optimistic Estimate Most Likely Estimate Pessimistic ...

I ( c ) Find the approximate probability that the project will finish within 100

**weeks**. ( d ) Is the approximate probability obtained in part ( c ) likely to be higher or

lower than the true value ? Optimistic Estimate Most Likely Estimate Pessimistic ...

Page 522

Therefore , he and the top management of 21st Century Studios have concluded

that they must accelerate production of their movie and bring it out at the

beginning of the summer ( 15

the year .

Therefore , he and the top management of 21st Century Studios have concluded

that they must accelerate production of their movie and bring it out at the

beginning of the summer ( 15

**weeks**from now ) to establish it as THE movie ofthe year .

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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