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 388
There are more products ( four ) than plants ( three ) , so one of the plants will need to be assigned two products . ... To make this assignment of an extra product possible within an assignment problem formulation , Plants 1 and 2 ...
There are more products ( four ) than plants ( three ) , so one of the plants will need to be assigned two products . ... To make this assignment of an extra product possible within an assignment problem formulation , Plants 1 and 2 ...
Page 399
Consider the assignment problem having the following cost table . ... and that no plant should be assigned more than one product ( so that three plants are each to be assigned one product , and two plants are to be assigned none ) .
Consider the assignment problem having the following cost table . ... and that no plant should be assigned more than one product ( so that three plants are each to be assigned one product , and two plants are to be assigned none ) .
Page 408
For example , if a flow of 10 has been assigned in one direction and then a flow of 4 is assigned in the opposite direction , the ac- tual effect is to cancel 4 units of the original assignment by reducing the flow in the origi- nal ...
For example , if a flow of 10 has been assigned in one direction and then a flow of 4 is assigned in the opposite direction , the ac- tual effect is to cancel 4 units of the original assignment by reducing the flow in the origi- nal ...
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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