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 750
... decision analysis is whether to make the needed decision immediately or to first do some testing ( at some expense ) to reduce the level of uncertainty about the outcome of the decision . For example , the testing might be field testing ...
... decision analysis is whether to make the needed decision immediately or to first do some testing ( at some expense ) to reduce the level of uncertainty about the outcome of the decision . For example , the testing might be field testing ...
Page 770
... Decision ( Academic ) TreePlan ... Event ( Academic ) OK OK Add branch Copy subtree Cancel Add branch Copy subtree Cancel Insert decision Insert decision Select ... Select ... Insert event Insert event Change to event Options ...
... Decision ( Academic ) TreePlan ... Event ( Academic ) OK OK Add branch Copy subtree Cancel Add branch Copy subtree Cancel Insert decision Insert decision Select ... Select ... Insert event Insert event Change to event Options ...
Page 779
... decision tree in representing and solving decision analysis problems . One that has become quite popu- lar is called the influence diagram , and researchers continue to develop others as well.2 Many strategic business decisions are made ...
... decision tree in representing and solving decision analysis problems . One that has become quite popu- lar is called the influence diagram , and researchers continue to develop others as well.2 Many strategic business decisions are made ...
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