Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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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 ...
( 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 ...
Page 297
( a ) What is the optimal solution and total profit ? ( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will the optimal solution change , and what can be said about the effect on total profit ? ( c ) Suppose the profit ...
( a ) What is the optimal solution and total profit ? ( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will the optimal solution change , and what can be said about the effect on total profit ? ( c ) Suppose the profit ...
Page 715
Management wants to know what values of x1 , x2 and x3 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 ...
Management wants to know what values of x1 , x2 and x3 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 ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero