Introduction to Operations Research, Volume 1CD-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 of the finished products awaiting shipment . Similarly , both whole- salers and retailers need to maintain inventories of goods to be available for purchase by customers . The total value of all inventory - including ...
... inventories of the finished products awaiting shipment . Similarly , both whole- salers and retailers need to maintain inventories of goods to be available for purchase by customers . The total value of all inventory - including ...
Page 983
... INVENTORY SYSTEMS IN PRACTICE All the inventory models presented in this chapter have been concerned with the man- agement of the inventory of a single product at a ... INVENTORY SYSTEMS IN PRACTICE 983 Larger Inventory Systems in Practice.
... INVENTORY SYSTEMS IN PRACTICE All the inventory models presented in this chapter have been concerned with the man- agement of the inventory of a single product at a ... INVENTORY SYSTEMS IN PRACTICE 983 Larger Inventory Systems in Practice.
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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero