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 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 373
Destination Row Difference 1 2 3 4 5 Supply 16 Source 14 19 M 16 14 19 o 13 13 20 M 17 15 M 0 50 60 50 50 OO - w 30 Select X44 Demand Column difference 30 2 20 14 70 0 60 15 30 Eliminate column 4 Destination Row Difference N 3 Supply ...
Destination Row Difference 1 2 3 4 5 Supply 16 Source 14 19 M 16 14 19 o 13 13 20 M 17 15 M 0 50 60 50 50 OO - w 30 Select X44 Demand Column difference 30 2 20 14 70 0 60 15 30 Eliminate column 4 Destination Row Difference N 3 Supply ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
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Common terms and phrases
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