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 511
... begin until the exterior siding is there on which to paint . How- ever , it certainly is possible to begin painting on one wall while the exterior siding still is being put up to form the other walls . Thus , activity H actually can begin ...
... begin until the exterior siding is there on which to paint . How- ever , it certainly is possible to begin painting on one wall while the exterior siding still is being put up to form the other walls . Thus , activity H actually can begin ...
Page 583
... begin production for various new or- ders ? When should we begin marketing various new products ? When should we make various capital investments to expand our production capacity ? For any such activity , the decision about when to ...
... begin production for various new or- ders ? When should we begin marketing various new products ? When should we make various capital investments to expand our production capacity ? For any such activity , the decision about when to ...
Page 880
... begin serving the new arrival immediately . ( When a server does succeed in finishing a service , the next customer to begin receiving service is selected just as described at the beginning of this subsection , so a preempted customer ...
... begin serving the new arrival immediately . ( When a server does succeed in finishing a service , the next customer to begin receiving service is selected just as described at the beginning of this subsection , so a preempted customer ...
Other editions - View all
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