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 369
To begin , all source rows and destination columns of the transportation simplex tableau are initially under con- ... Eliminate that row or column ( whichever had the smaller remaining supply or demand ) from further consideration .
To begin , all source rows and destination columns of the transportation simplex tableau are initially under con- ... Eliminate that row or column ( whichever had the smaller remaining supply or demand ) from further consideration .
Page 370
Because this supply is no larger than the demand of 20 in column 2 , all of it is allocated , X12 20 , and this row is eliminated from further consideration . ( Row 1 is chosen for elimination rather than column 2 because of the ...
Because this supply is no larger than the demand of 20 in column 2 , all of it is allocated , X12 20 , and this row is eliminated from further consideration . ( Row 1 is chosen for elimination rather than column 2 because of the ...
Page 371
At each iteration , after the difference for every row and column remaining un- der consideration is calculated and displayed , the largest difference is circled and the small- est unit cost in its row or column is enclosed in a box .
At each iteration , after the difference for every row and column remaining un- der consideration is calculated and displayed , the largest difference is circled and the small- est unit cost in its row or column is enclosed in a box .
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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