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
Results 1-3 of 86
Page 155
FIGURE 4.8 This graph shows that the shadow price is y = } for resource 2 for the Wyndor Glass Co. problem . The two dots are the optimal solutions for b2 = 12 or b2 = 13 , and plugging these solutions into the objective function ...
FIGURE 4.8 This graph shows that the shadow price is y = } for resource 2 for the Wyndor Glass Co. problem . The two dots are the optimal solutions for b2 = 12 or b2 = 13 , and plugging these solutions into the objective function ...
Page 181
4.8 to determine the shadow prices for the respective resources . ( b ) Use graphical analysis to perform ... Maximize subject to 201 Z = 4x1 + 2x2 , ≤16 x + 3x2 ≤ 17 ( resource 1 ) ( resource 2 ) x2 ≤ 5 ( resource 3 ) X2 ≥ 0 .
4.8 to determine the shadow prices for the respective resources . ( b ) Use graphical analysis to perform ... Maximize subject to 201 Z = 4x1 + 2x2 , ≤16 x + 3x2 ≤ 17 ( resource 1 ) ( resource 2 ) x2 ≤ 5 ( resource 3 ) X2 ≥ 0 .
Page 241
erates at a strictly positive level ( x ; > 0 ) , the marginal value of the resources it consumes must equal ( as ... The second state- ment implies that the marginal value of resource i is zero ( y ; = 0 ) whenever the supply of this ...
erates at a strictly positive level ( x ; > 0 ) , the marginal value of the resources it consumes must equal ( as ... The second state- ment implies that the marginal value of resource i is zero ( y ; = 0 ) whenever the supply of this ...
What people are saying - Write a review
Reviews aren't verified, but Google checks for and removes fake content when it's identified
User Review - Flag as inappropriate
i
User Review - Flag as inappropriate
I want review this book
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero