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 388
... formulation of Option 1 for the Better Products Co. problem Cost per Unit Distributed Destination ( Product ) Source ( Plant ) Demand 123 1 2 3 4 5 ( D ) Supply 41 27 28 24 40 29 M 23 37 30 27 21 000 75 75 45 20 30 30 40 75 Management ...
... formulation of Option 1 for the Better Products Co. problem Cost per Unit Distributed Destination ( Product ) Source ( Plant ) Demand 123 1 2 3 4 5 ( D ) Supply 41 27 28 24 40 29 M 23 37 30 27 21 000 75 75 45 20 30 30 40 75 Management ...
Page 585
... formulation example of this type will be presented at the end of Sec . 12.4 . 12.3 INNOVATIVE USES OF BINARY VARIABLES IN MODEL FORMULATION You have just seen a number of examples where the basic decisions of the problem are of the yes ...
... formulation example of this type will be presented at the end of Sec . 12.4 . 12.3 INNOVATIVE USES OF BINARY VARIABLES IN MODEL FORMULATION You have just seen a number of examples where the basic decisions of the problem are of the yes ...
Page 1206
... formulation , 82-86 minimum cost flow problem , 433 MPL formulation , 76–78 other legitimate forms , 33 standard form , 32-33 terminology for solutions , 33-36 very large , 72-79 Linear regression , 1028-1036 , 1037 confidence interval ...
... formulation , 82-86 minimum cost flow problem , 433 MPL formulation , 76–78 other legitimate forms , 33 standard form , 32-33 terminology for solutions , 33-36 very large , 72-79 Linear regression , 1028-1036 , 1037 confidence interval ...
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