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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... 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 ...
Page 522
... million $ 90 million $ 120 million $ 190 million $ 80 million $ 180 million $ 146 million $ 210 million $ 72 million $ 160 million $ 257 million $ 96 million $ 132 million $ 226 million $ 84 million Dusty now has learned that another ...
... million $ 90 million $ 120 million $ 190 million $ 80 million $ 180 million $ 146 million $ 210 million $ 72 million $ 160 million $ 257 million $ 96 million $ 132 million $ 226 million $ 84 million Dusty now has learned that another ...
Page 637
... million $ 2 million Marginal net revenue $ 2 million Capacity used per plane Maximum order 20 % 3 planes $ 3 million 40 % 2 planes Start - up cost 0 $ 0.8 million 20 % 5 planes Fly - Right now wants to determine how many airplanes to ...
... million $ 2 million Marginal net revenue $ 2 million Capacity used per plane Maximum order 20 % 3 planes $ 3 million 40 % 2 planes Start - up cost 0 $ 0.8 million 20 % 5 planes Fly - Right now wants to determine how many airplanes to ...
Other editions - View all
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 corresponding cost Courseware CPF solution CPLEX decision variables 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 interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize subject 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero