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 102
However , it ( b ) Use LINGO to formulate and solve this model . also is possible (
and occasionally desirable ) for a plant to make a C 3.7-7 . Reconsider Prob . 3.6-
5 . shipment to the other half of the country to help fill the sales of the other plant ...
However , it ( b ) Use LINGO to formulate and solve this model . also is possible (
and occasionally desirable ) for a plant to make a C 3.7-7 . Reconsider Prob . 3.6-
5 . shipment to the other half of the country to help fill the sales of the other plant ...
Page 393
( a ) Formulate this problem as a transportation problem by constructing the
appropriate parameter table . ( b ) Draw the network representation of this
problem . C ( c ) Obtain an optimal solution . 8.1-2 . * Tom would like 3 pints of
home brew ...
( a ) Formulate this problem as a transportation problem by constructing the
appropriate parameter table . ( b ) Draw the network representation of this
problem . C ( c ) Obtain an optimal solution . 8.1-2 . * Tom would like 3 pints of
home brew ...
Page 455
C ( b ) Formulate and solve a spreadsheet model for this problem . To Unit
Shipping Cost Shipping Capacity From Warehouse 1 Warehouse 2 Warehouse 1
Warehouse 2 Output 9.6-1 . Reconsider the maximum flow problem shown in
Prob .
C ( b ) Formulate and solve a spreadsheet model for this problem . To Unit
Shipping Cost Shipping Capacity From Warehouse 1 Warehouse 2 Warehouse 1
Warehouse 2 Output 9.6-1 . Reconsider the maximum flow problem shown in
Prob .
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activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero