Introduction to Operations ResearchCD-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 157
FIGURE 4.9 This graph demonstrates the sensitivity analysis of c , and C2 for the Wyndor Glass Co. problem . Starting with the original objective function line [ where c1 = 3 , c2 = 5 , and the optimal solution is ( 2 , 6 ) ] ...
FIGURE 4.9 This graph demonstrates the sensitivity analysis of c , and C2 for the Wyndor Glass Co. problem . Starting with the original objective function line [ where c1 = 3 , c2 = 5 , and the optimal solution is ( 2 , 6 ) ] ...
Page 254
This approach also makes it very easy to conduct sensitivity analysis on the coefficients of the new variable added to the primal problem . By simply checking the new dual constraint , you can immediately see how far any of these ...
This approach also makes it very easy to conduct sensitivity analysis on the coefficients of the new variable added to the primal problem . By simply checking the new dual constraint , you can immediately see how far any of these ...
Page 262
The interactive routine entitled sensitivity analysis in the OR Courseware will enable you to efficiently practice applying this procedure . In addition , a demonstration in OR Tu- tor ( also entitled sensitivity analysis ) provides you ...
The interactive routine entitled sensitivity analysis in the OR Courseware will enable you to efficiently practice applying this procedure . In addition , a demonstration in OR Tu- tor ( also entitled sensitivity analysis ) provides you ...
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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 assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero