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 409
A directed path from node i to node j is a sequence of con- necting arcs whose direction ( if any ) is toward node j , so that flow from node i to node j along this path is feasible . An undirected path from node i to node j is a ...
A directed path from node i to node j is a sequence of con- necting arcs whose direction ( if any ) is toward node j , so that flow from node i to node j along this path is feasible . An undirected path from node i to node j is a ...
Page 419
The unconnected node closest to either node O or node A is node B ( closest to A ) . Con- nect node B to node A. 2 A 7 2 T 5 4 5 D B 3 7 E C 4 The unconnected node closest to node O , A , or B is node C ( closest to B ) .
The unconnected node closest to either node O or node A is node B ( closest to A ) . Con- nect node B to node A. 2 A 7 2 T 5 4 5 D B 3 7 E C 4 The unconnected node closest to node O , A , or B is node C ( closest to B ) .
Page 431
the network includes a dummy demand node that receives ( at zero cost ) all the unused supply capacity at the vendors . ... This application involves a company with several plants ( the supply nodes ) that can produce the same products ...
the network includes a dummy demand node that receives ( at zero cost ) all the unused supply capacity at the vendors . ... This application involves a company with several plants ( the supply nodes ) that can produce the same products ...
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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