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 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 ...
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 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 ...
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
A B с D E F 32 weeks 28 weeks 36 weeks 16 weeks 32 weeks 54 weeks 17
weeks 20 weeks 34 weeks 18 weeks 28 weeks 25 weeks 31 weeks 13 weeks 27
weeks 47 weeks 15 weeks 17 weeks 30 weeks 16 weeks $ 160 million $ 125
million ...
A B с D E F 32 weeks 28 weeks 36 weeks 16 weeks 32 weeks 54 weeks 17
weeks 20 weeks 34 weeks 18 weeks 28 weeks 25 weeks 31 weeks 13 weeks 27
weeks 47 weeks 15 weeks 17 weeks 30 weeks 16 weeks $ 160 million $ 125
million ...
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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