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 | |
59 other sections not shown
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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 constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible 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 nonnegative 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 transportation unit values weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |