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 935
... inventories ( stocks of goods being held for future use or sale ) . They aren't placing orders to replenish inventories soon enough to avoid shortages . These stores could benefit from the kinds of techniques of scientific inventory ...
... inventories ( stocks of goods being held for future use or sale ) . They aren't placing orders to replenish inventories soon enough to avoid shortages . These stores could benefit from the kinds of techniques of scientific inventory ...
Page 936
... inventory policy for when and how much to replenish their inventory ? They use scientific inventory man- agement comprising the following steps : 1. Formulate a mathematical model describing the behavior of the inventory system . 2 ...
... inventory policy for when and how much to replenish their inventory ? They use scientific inventory man- agement comprising the following steps : 1. Formulate a mathematical model describing the behavior of the inventory system . 2 ...
Page 984
... inventory management en- tering the 21st century . Now , as never before , the inventory of many manufacturers is scat- tered throughout the world . Even the inventory of an individual product may be dispersed globally . This inventory ...
... inventory management en- tering the 21st century . Now , as never before , the inventory of many manufacturers is scat- tered throughout the world . Even the inventory of an individual product may be dispersed globally . This inventory ...
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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