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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Related Chapters + Annual Savings 1985 2-8 , 13 , 22 $ 15 million TABLE 1.1 Some applications of operations research Organization The Netherlands Rijkswaterstaat Monsanto Corp. Nature of Application Develop national water management ...
Related Chapters + Annual Savings 1985 2-8 , 13 , 22 $ 15 million TABLE 1.1 Some applications of operations research Organization The Netherlands Rijkswaterstaat Monsanto Corp. Nature of Application Develop national water management ...
Page 522
Activity A Activity Normal Time Crash Time Normal Cost Crash Cost Α 5 weeks 3 weeks $ 20 million 3 weeks 2 weeks $ 10 million 4 weeks 2 weeks $ 16 million $ 30 million $ 20 million $ 24 million 6 weeks 5 weeks 7 weeks 3 weeks $ 25 ...
Activity A Activity Normal Time Crash Time Normal Cost Crash Cost Α 5 weeks 3 weeks $ 20 million 3 weeks 2 weeks $ 10 million 4 weeks 2 weeks $ 16 million $ 30 million $ 20 million $ 24 million 6 weeks 5 weeks 7 weeks 3 weeks $ 25 ...
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Customer 1 2 3 $ 3 million Marginal net revenue $ 2 million Capacity used per plane Maximum order 20 % 3 planes $ 2 million $ 3 million 40 % 2 planes Start - up cost 0 $ 0.8 million 20 % 5 planes Fly - Right now wants to determine how ...
Customer 1 2 3 $ 3 million Marginal net revenue $ 2 million Capacity used per plane Maximum order 20 % 3 planes $ 2 million $ 3 million 40 % 2 planes Start - up cost 0 $ 0.8 million 20 % 5 planes Fly - Right now wants to determine how ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero