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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Page 77
... month ] Inventory [ plant , product , month ] Prod ; Invt ; Sales [ plant , product , month ] → Sale ; Ship [ product , month , fromplant , toplant ] WHERE ( fromplant < > toplant ) ; In the case of the decision variables with names ...
... month ] Inventory [ plant , product , month ] Prod ; Invt ; Sales [ plant , product , month ] → Sale ; Ship [ product , month , fromplant , toplant ] WHERE ( fromplant < > toplant ) ; In the case of the decision variables with names ...
Page 360
... Month Scheduled Installations Maximum Production Unit Cost⭑ of Production Unit Cost⭑ of Storage 123 4 10 2 15 3 4 25 20 0532 25 1.08 0.015 35 1.11 0.015 30 1.10 0.015 10 1.13 * Cost is expressed in millions of dollars . To meet the ...
... Month Scheduled Installations Maximum Production Unit Cost⭑ of Production Unit Cost⭑ of Storage 123 4 10 2 15 3 4 25 20 0532 25 1.08 0.015 35 1.11 0.015 30 1.10 0.015 10 1.13 * Cost is expressed in millions of dollars . To meet the ...
Page 518
... months 2 months 15 months P ( a ) Construct the project network for this project . 2 months 3.5 months 21 months 1 month 1.5 months 18 months 0.5 month 1 month 15 months 3 months 5 months 24 months 1 month 2 months 16 months 0.5 month 1 ...
... months 2 months 15 months P ( a ) Construct the project network for this project . 2 months 3.5 months 21 months 1 month 1.5 months 18 months 0.5 month 1 month 15 months 3 months 5 months 24 months 1 month 2 months 16 months 0.5 month 1 ...
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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 CPF solution CPLEX decision variables described 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 graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero