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 240
... unit of activity j in the primal problem consumes a¡j units of resource i , m i = Σ a¡¡y ; is interpreted as the current contribution to profit of the mix of resources that would be consumed if 1 unit of activity j were used ( j = 1 , 2 ...
... unit of activity j in the primal problem consumes a¡j units of resource i , m i = Σ a¡¡y ; is interpreted as the current contribution to profit of the mix of resources that would be consumed if 1 unit of activity j were used ( j = 1 , 2 ...
Page 293
... profit . The following table summarizes the data for the problem . Resource Usage per Unit of Each Activity Resource = 2 . Produce Produce Toys Subassemblies Subassembly A 2 Subassembly B 1 Amount of Resource Available -1 3,000 -1 1,000 ...
... profit . The following table summarizes the data for the problem . Resource Usage per Unit of Each Activity Resource = 2 . Produce Produce Toys Subassemblies Subassembly A 2 Subassembly B 1 Amount of Resource Available -1 3,000 -1 1,000 ...
Page 297
... profit ? ( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will the optimal solution change , and ... unit profit for grandfather clocks is changed from $ 300 to $ 375 ( with no other changes in the model ) . ( f ) ...
... profit ? ( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will the optimal solution change , and ... unit profit for grandfather clocks is changed from $ 300 to $ 375 ( with no other changes in the model ) . ( f ) ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero