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 333
A two - sided goal sets a specific target that we do not want to miss on either side
. Goal programming problems can be categorized according to the type of
mathematical programming model ( linear programming , integer programming ...
A two - sided goal sets a specific target that we do not want to miss on either side
. Goal programming problems can be categorized according to the type of
mathematical programming model ( linear programming , integer programming ...
Page 333
A two - sided goal sets a specific target that we do not want to miss on either side
. Goal programming problems can be categorized according to the type of
mathematical programming model ( linear programming , integer programming ...
A two - sided goal sets a specific target that we do not want to miss on either side
. Goal programming problems can be categorized according to the type of
mathematical programming model ( linear programming , integer programming ...
Page 346
C ( b ) Management is wondering what would happen if the total profit goal were
to be increased to wanting at least $ 140 million ( without any change in the
original penalty weights ) . Solve the revised model with this change . C ( c )
Solve the ...
C ( b ) Management is wondering what would happen if the total profit goal were
to be increased to wanting at least $ 140 million ( without any change in the
original penalty weights ) . Solve the revised model with this change . C ( c )
Solve the ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 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 calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate 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 resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero