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 184
Note that it is possible to produce a silk camisole without producing a silk blouse and a cotton miniskirt without producing a cotton sweater . The demand forecasts indicate that some items have limited demand .
Note that it is possible to produce a silk camisole without producing a silk blouse and a cotton miniskirt without producing a cotton sweater . The demand forecasts indicate that some items have limited demand .
Page 364
The imaginary supply quantity for this dummy source would be the amount by which the sum of the demands exceeds the ... Similarly , the formulation for Hollyglass does not require any adjustments because its demand ( 60 ) exceeds the ...
The imaginary supply quantity for this dummy source would be the amount by which the sum of the demands exceeds the ... Similarly , the formulation for Hollyglass does not require any adjustments because its demand ( 60 ) exceeds the ...
Page 964
This cost is the per - item quantification of the loss of goodwill times the unsatisfied demand whenever a shortage occurs . The distributor considers this cost to be negligible . If we adopt the criterion of maximizing profit , we must ...
This cost is the per - item quantification of the loss of goodwill times the unsatisfied demand whenever a shortage occurs . The distributor considers this cost to be negligible . If we adopt the criterion of maximizing profit , we must ...
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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