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 382
The objective is to determine how all n assignments should be made to minimize the total cost . Any problem satisfying all these assumptions can be solved extremely efficiently by al- gorithms designed specifically for assignment ...
The objective is to determine how all n assignments should be made to minimize the total cost . Any problem satisfying all these assumptions can be solved extremely efficiently by al- gorithms designed specifically for assignment ...
Page 388
To make this assignment of an extra product possible within an assignment problem formulation , Plants 1 and 2 each are split into two assignees , as shown in Table 8.29 . The number of assignees ( now five ) must equal the number of ...
To make this assignment of an extra product possible within an assignment problem formulation , Plants 1 and 2 each are split into two assignees , as shown in Table 8.29 . The number of assignees ( now five ) must equal the number of ...
Page 400
( c ) Reformulate this assignment problem as an equivalent trans- portation problem with two sources and three destinations by constructing the appropriate parameter table . c ( d ) Obtain an optimal solution for the problem as ...
( c ) Reformulate this assignment problem as an equivalent trans- portation problem with two sources and three destinations by constructing the appropriate parameter table . c ( d ) Obtain an optimal solution for the problem as ...
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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