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 949
... Example Example 2 ( wholesale distribution of bicycles ) introduced in Sec . 19.1 focused on man- aging the inventory of one model of bicycle . The demand for this product is generated by the wholesaler's customers ( various retailers ) ...
... Example Example 2 ( wholesale distribution of bicycles ) introduced in Sec . 19.1 focused on man- aging the inventory of one model of bicycle . The demand for this product is generated by the wholesaler's customers ( various retailers ) ...
Page 1202
... example , 758 value of experimentation , 762-764 decision making without experimentation , 750 , 751-758 Bayes ' decision rule , 754-758 formulation of prototype example , 752 maximin payoff criterion , 752-753 maximum likelihood ...
... example , 758 value of experimentation , 762-764 decision making without experimentation , 750 , 751-758 Bayes ' decision rule , 754-758 formulation of prototype example , 752 maximin payoff criterion , 752-753 maximum likelihood ...
Page 1206
... example , 826-827 formulation , 822-823 key random variables , 823-825 steady - state probabilities , 825-827 first passage times , 818-820 formulating example , 805-807 gambling example , 807-808 inventory example , 803 irreducible ...
... example , 826-827 formulation , 822-823 key random variables , 823-825 steady - state probabilities , 825-827 first passage times , 818-820 formulating example , 805-807 gambling example , 807-808 inventory example , 803 irreducible ...
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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 dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming 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 slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero