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. |
From inside the book
Results 1-3 of 81
Page 60
... Amount shipped out - amount shipped in = required amount . As indicated in Fig . 3.13 , these required amounts are 50 for F1 , 40 for F2 , -30 for W1 , and -60 for W2 . FIGURE 3.13 The distribution network for Distribution Unlimited Co ...
... Amount shipped out - amount shipped in = required amount . As indicated in Fig . 3.13 , these required amounts are 50 for F1 , 40 for F2 , -30 for W1 , and -60 for W2 . FIGURE 3.13 The distribution network for Distribution Unlimited Co ...
Page 75
... Amount produced + inventory last month + amount shipped in = inventory amount shipped out , sales + current where the amount produced is the sum of the decision variables representing the pro- duction quantities at the machines , the amount ...
... Amount produced + inventory last month + amount shipped in = inventory amount shipped out , sales + current where the amount produced is the sum of the decision variables representing the pro- duction quantities at the machines , the amount ...
Page 106
... amount of potatoes and green beans Maria should purchase each week . ( e ) Maria decides that she wants to purchase lima beans instead of green beans since lima beans are less expensive and provide a greater amount of protein and iron ...
... amount of potatoes and green beans Maria should purchase each week . ( e ) Maria decides that she wants to purchase lima beans instead of green beans since lima beans are less expensive and provide a greater amount of protein and iron ...
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 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