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 91
( c ) Use the information from part ( b ) to draw a graph of this line . all ) if the profit
per wood - framed window decreases from $ 60 to $ 40 ? From $ 60 to $ 20 ? ( e )
Doug is considering lowering his working hours , which would decrease the ...
( c ) Use the information from part ( b ) to draw a graph of this line . all ) if the profit
per wood - framed window decreases from $ 60 to $ 40 ? From $ 60 to $ 20 ? ( e )
Doug is considering lowering his working hours , which would decrease the ...
Page 297
( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will ( e ) Use this
sensitivity analysis information to determine whether the optimal solution change
, and what can be said about the the optimal solution must remain optimal if the ...
( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will ( e ) Use this
sensitivity analysis information to determine whether the optimal solution change
, and what can be said about the the optimal solution must remain optimal if the ...
Page 715
Management wants to know what values of x1 , x2 and xz should be chosen to
maximize the total profit . ( a ) Plot the profit graph for each of the three products .
( b ) Use separable programming to formulate a linear programming model for
this ...
Management wants to know what values of x1 , x2 and xz should be chosen to
maximize the total profit . ( a ) Plot the profit graph for each of the three products .
( b ) Use separable programming to formulate a linear programming model for
this ...
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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