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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Page 360
... Month Scheduled Installations Maximum Production Unit Cost * of Production Unit Cost * of Storage 10 25 1.08 0.015 15 35 1.11 0.015 30 1.10 0.015 20 10 1.13 2532 123 4 * Cost is expressed in millions of dollars . To meet the contracted ...
... Month Scheduled Installations Maximum Production Unit Cost * of Production Unit Cost * of Storage 10 25 1.08 0.015 15 35 1.11 0.015 30 1.10 0.015 20 10 1.13 2532 123 4 * Cost is expressed in millions of dollars . To meet the contracted ...
Page 518
... month 14 months Н 2.5 months 3.5 months 25 months 1 month 3 months 2 months 3 months 18 months 18 months ( Note how the great uncertainty in the duration of these research activities causes each pessimistic estimate to be several times ...
... month 14 months Н 2.5 months 3.5 months 25 months 1 month 3 months 2 months 3 months 18 months 18 months ( Note how the great uncertainty in the duration of these research activities causes each pessimistic estimate to be several times ...
Page 1039
... month . ( Use hand calculations rather than an Ex- cel template . ) ( a ) The last - value method . ( b ) The ... month was 1,632 . What is Ann's forecast for next month ? 20.4-6 . The J.J. Bone Company uses exponential smoothing ...
... month . ( Use hand calculations rather than an Ex- cel template . ) ( a ) The last - value method . ( b ) The ... month was 1,632 . What is Ann's forecast for next month ? 20.4-6 . The J.J. Bone Company uses exponential smoothing ...
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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 Courseware CPLEX decision variables described 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 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 resource right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero