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 487
... estimates for the respective activities ( where the most likely estimate is labeled as the ex- pected duration ) ... estimates . Using the " Cal- culate PERT " option on this toolbar recalculates " Duration " with the above formula ...
... estimates for the respective activities ( where the most likely estimate is labeled as the ex- pected duration ) ... estimates . Using the " Cal- culate PERT " option on this toolbar recalculates " Duration " with the above formula ...
Page 517
... estimated durations of the activities in this figure turn out to be the same as the mean durations given in Table 10.4 ( Sec . 10.4 ) when using the PERT three - estimate approach . Now suppose that the pessimistic estimates in Table ...
... estimated durations of the activities in this figure turn out to be the same as the mean durations given in Table 10.4 ( Sec . 10.4 ) when using the PERT three - estimate approach . Now suppose that the pessimistic estimates in Table ...
Page 518
... estimates that led to the estimates of the mean and variance of the duration of the activity ( rounded to the near- est integer ) given in the table for Prob . 10.4-2 . ect . Using the PERT three - estimate approach , Bill has ...
... estimates that led to the estimates of the mean and variance of the duration of the activity ( rounded to the near- est integer ) given in the table for Prob . 10.4-2 . ect . Using the PERT three - estimate approach , Bill has ...
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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