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 294
After further negotiations with each vendor , management of the G. A. Tanner Co. has learned that either of them would be willing to consider increasing their supply of their respective subassemblies over the previously stated maxima ...
After further negotiations with each vendor , management of the G. A. Tanner Co. has learned that either of them would be willing to consider increasing their supply of their respective subassemblies over the previously stated maxima ...
Page 364
s production scheduling problem , where there was excess supply capacity . Now there is excess demand capacity . Consequently , rather than introducing a dummy destination to “ receive " the unused supply capacity , the adjustment ...
s production scheduling problem , where there was excess supply capacity . Now there is excess demand capacity . Consequently , rather than introducing a dummy destination to “ receive " the unused supply capacity , the adjustment ...
Page 986
In 1989 , SPAM began bringing supply chain management concepts into HP . HP's supply chain includes manufacturing integrated circuits , board assembly , final assembly , and delivery to customers on a global basis .
In 1989 , SPAM began bringing supply chain management concepts into HP . HP's supply chain includes manufacturing integrated circuits , board assembly , final assembly , and delivery to customers on a global basis .
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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