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. |
From inside the book
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Page 835
... queueing models and their basic results . Chapter 18 discusses how the information pro- vided by queueing theory can be used to design queueing systems that ... QUEUEING MODELS 835 Prototype Example Basic Structure of Queueing Models.
... queueing models and their basic results . Chapter 18 discusses how the information pro- vided by queueing theory can be used to design queueing systems that ... QUEUEING MODELS 835 Prototype Example Basic Structure of Queueing Models.
Page 871
... QUEUEING MODELS INVOLVING NONEXPONENTIAL DISTRIBUTIONS Because all the queueing theory models in the preceding section ... QUEUEING MODELS INVOLVING NONEXPONENTIAL DISTRIBUTIONS 871 Queueing Models Involving Nonexponential Distributions.
... QUEUEING MODELS INVOLVING NONEXPONENTIAL DISTRIBUTIONS Because all the queueing theory models in the preceding section ... QUEUEING MODELS INVOLVING NONEXPONENTIAL DISTRIBUTIONS 871 Queueing Models Involving Nonexponential Distributions.
Page 1210
... Queue discipline , 835 , 836 Queueing models , 834-835 Queueing simulation , 1096 Queueing Simulator , 1131 Queueing systems , 834 , 835 design and operation of , 1097-1098 design decisions , 909 Queueing theory , 64 , 834-890 ...
... Queue discipline , 835 , 836 Queueing models , 834-835 Queueing simulation , 1096 Queueing Simulator , 1131 Queueing systems , 834 , 835 design and operation of , 1097-1098 design decisions , 909 Queueing theory , 64 , 834-890 ...
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