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. |
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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 algorithms designed specifically for assignment problems ...
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 algorithms designed specifically for assignment problems ...
Page 399
Consider the assignment problem having the following cost table . Task 1 2 3 4 Assignee A B с D 8 6 7 6 on on 6 5 8 7 5 3 4 5 7 4 6 6 ( a ) Draw the network representation of this assignment problem . ( b ) Formulate this problem as a ...
Consider the assignment problem having the following cost table . Task 1 2 3 4 Assignee A B с D 8 6 7 6 on on 6 5 8 7 5 3 4 5 7 4 6 6 ( a ) Draw the network representation of this assignment problem . ( b ) Formulate this problem as a ...
Page 400
( c ) Reformulate this assignment problem as an equivalent transportation problem with two sources and three ... c ( d ) Obtain an optimal solution for the problem as formulated in part ( c ) . choice of these assignments of plants to ...
( c ) Reformulate this assignment problem as an equivalent transportation problem with two sources and three ... c ( d ) Obtain an optimal solution for the problem as formulated in part ( c ) . choice of these assignments of plants to ...
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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 assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero