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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1985 2 , 12 $ 2 million United Airlines 1986 $ 6 million 2-9 , 12 , 17 , 18 , 20 Develop national water management policy , including mix of new facilities , operating procedures , and pricing . Optimize production operations in ...
1985 2 , 12 $ 2 million United Airlines 1986 $ 6 million 2-9 , 12 , 17 , 18 , 20 Develop national water management policy , including mix of new facilities , operating procedures , and pricing . Optimize production operations in ...
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30 million $ 20 million $ 24 million Activity Normal Time Crash Time Normal Cost Crash Cost A 5 weeks 3 weeks $ 20 million Activity A Normal Time Crash Normal Crash Time Cost Cost 32 weeks 28 weeks $ 160 million $ 180 million B 28 weeks ...
30 million $ 20 million $ 24 million Activity Normal Time Crash Time Normal Cost Crash Cost A 5 weeks 3 weeks $ 20 million Activity A Normal Time Crash Normal Crash Time Cost Cost 32 weeks 28 weeks $ 160 million $ 180 million B 28 weeks ...
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The rightmost column gives the capital required ( already included in the net present value ) for the respective investments , where the total capital available is $ 10 million . The objective is to find the feasible combination of ...
The rightmost column gives the capital required ( already included in the net present value ) for the respective investments , where the total capital available is $ 10 million . The objective is to find the feasible combination of ...
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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 allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables 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 graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero