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 4
... million 1985 2 , 12 $ 2 million chemical plants to meet production targets with minimum cost . United Airlines Schedule shift work at reservation offices 1986 2-9 , 12 , 17 , $ 6 million and airports to meet customer needs with 18 , 20 ...
... million 1985 2 , 12 $ 2 million chemical plants to meet production targets with minimum cost . United Airlines Schedule shift work at reservation offices 1986 2-9 , 12 , 17 , $ 6 million and airports to meet customer needs with 18 , 20 ...
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... million $ 20 million $ 24 million Activity Normal Time Crash Time Normal Cost Crash Cost A 5 weeks 3 weeks $ 20 million 3 weeks 2 weeks $ 10 million 4 weeks 2 weeks $ 16 million 6 weeks 3 weeks $ 25 million $ 43 million 5 weeks 7 weeks 4 ...
... million $ 20 million $ 24 million Activity Normal Time Crash Time Normal Cost Crash Cost A 5 weeks 3 weeks $ 20 million 3 weeks 2 weeks $ 10 million 4 weeks 2 weeks $ 16 million 6 weeks 3 weeks $ 25 million $ 43 million 5 weeks 7 weeks 4 ...
Page 577
... million $ 6 million X2 $ 5 million $ 3 million X3 $ 6 million $ 5 million Build warehouse in San Francisco ? X4 $ 4 million $ 2 million Capital available : $ 10 million The BIP Model Although this problem is small enough that 12.1 PROTOTYPE ...
... million $ 6 million X2 $ 5 million $ 3 million X3 $ 6 million $ 5 million Build warehouse in San Francisco ? X4 $ 4 million $ 2 million Capital available : $ 10 million The BIP Model Although this problem is small enough that 12.1 PROTOTYPE ...
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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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero