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. |
From inside the book
Results 1-3 of 83
Page 494
... weeks , cost $ 430,000 . Crash point : time = 6 weeks , cost = $ 490,000 . Maximum reduction in time = 8 - 6 = 2 weeks . Crash cost per week saved = = - $ 490,000 $ 430,000 = $ 30,000 . 2 Table 10.7 gives the corresponding data obtained ...
... weeks , cost $ 430,000 . Crash point : time = 6 weeks , cost = $ 490,000 . Maximum reduction in time = 8 - 6 = 2 weeks . Crash cost per week saved = = - $ 490,000 $ 430,000 = $ 30,000 . 2 Table 10.7 gives the corresponding data obtained ...
Page 519
... weeks , with penalties imposed for late delivery . The project involves 10 activities ( labeled A , B , ... , J ) ... weeks 32 weeks 22 weeks 28 weeks 26 weeks 36 weeks 14 weeks 16 weeks 32 weeks 32 weeks F 40 weeks 52 weeks G 12 ...
... weeks , with penalties imposed for late delivery . The project involves 10 activities ( labeled A , B , ... , J ) ... weeks 32 weeks 22 weeks 28 weeks 26 weeks 36 weeks 14 weeks 16 weeks 32 weeks 32 weeks F 40 weeks 52 weeks G 12 ...
Page 522
... weeks 28 weeks $ 160 million B 28 weeks 25 weeks C 36 weeks 31 weeks D 16 weeks 13 weeks E 32 weeks 27 weeks F 54 weeks 47 weeks G 17 weeks 15 weeks H 20 weeks 17 weeks 34 weeks J 18 weeks 30 weeks 16 weeks $ 125 million $ 170 million ...
... weeks 28 weeks $ 160 million B 28 weeks 25 weeks C 36 weeks 31 weeks D 16 weeks 13 weeks E 32 weeks 27 weeks F 54 weeks 47 weeks G 17 weeks 15 weeks H 20 weeks 17 weeks 34 weeks J 18 weeks 30 weeks 16 weeks $ 125 million $ 170 million ...
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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 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