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 79
Page 81
A3.1 shows how this problem would be formulated with LINGO . The first line of this formulation is just a comment describing the model . Note that the com- ment is preceded by an exclamation point and ended by a semicolon .
A3.1 shows how this problem would be formulated with LINGO . The first line of this formulation is just a comment describing the model . Note that the com- ment is preceded by an exclamation point and ended by a semicolon .
Page 183
the lists of materials requirements for each pattern , and the lists of demand forecasts for each pattern determined by customer surveys at fashion shows . She remembers the hectic and sometimes nightmarish days of designing the fall ...
the lists of materials requirements for each pattern , and the lists of demand forecasts for each pattern determined by customer surveys at fashion shows . She remembers the hectic and sometimes nightmarish days of designing the fall ...
Page 1116
The user writes Excel equations to link the inputs to the outputs so that the output cells will show the values that ... or graphical form ( or both ) that roughly shows the underlying probability distribu- tion of the output values .
The user writes Excel equations to link the inputs to the outputs so that the output cells will show the values that ... or graphical form ( or both ) that roughly shows the underlying probability distribu- tion of the output values .
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