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 294
... supply of their respective subassemblies over the previously stated max- ima ( 3,000 subassemblies of type A per day and 1,000 of type B per day ) if the company would pay a small premium over the reg- ular price for the extra ...
... supply of their respective subassemblies over the previously stated max- ima ( 3,000 subassemblies of type A per day and 1,000 of type B per day ) if the company would pay a small premium over the reg- ular price for the extra ...
Page 364
... supply quantity for this dummy source would be the amount by which the sum of the demands exceeds the sum of the real supplies : ( 50 + 70 + 30 + 60 ) − ( 50 + 60 + 50 ) = 50 . This formulation yields the parameter table shown in Table ...
... supply quantity for this dummy source would be the amount by which the sum of the demands exceeds the sum of the real supplies : ( 50 + 70 + 30 + 60 ) − ( 50 + 60 + 50 ) = 50 . This formulation yields the parameter table shown in Table ...
Page 372
... Supply Row Difference Source 123 2 3 16 13 14 13 19 20 Demand Column difference 20 70 2 0 020 17 15 55850 3 60 0 40 Select X13 Eliminate row 1 = 50 Destination 2 3 5 Supply Row Difference 2 14 13 15 60 1 Source 3 19 20 M 50 0 Demand 20 ...
... Supply Row Difference Source 123 2 3 16 13 14 13 19 20 Demand Column difference 20 70 2 0 020 17 15 55850 3 60 0 40 Select X13 Eliminate row 1 = 50 Destination 2 3 5 Supply Row Difference 2 14 13 15 60 1 Source 3 19 20 M 50 0 Demand 20 ...
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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 described dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero