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 369
Eliminate that row or column ( whichever had the smaller remaining supply or
demand ) from further consideration . ( If the row and column have the same
remaining supply and demand , then arbitrarily select the row as the one to be ...
Eliminate that row or column ( whichever had the smaller remaining supply or
demand ) from further consideration . ( If the row and column have the same
remaining supply and demand , then arbitrarily select the row as the one to be ...
Page 370
This first iteration leaves a supply of 20 remaining in row 1 , so next select X1 , 1
+ 1 = x12 to be a basic variable . Because this supply is no larger than the
demand of 20 in column 2 , all of it is allocated , X12 = 20 , and this row is
eliminated ...
This first iteration leaves a supply of 20 remaining in row 1 , so next select X1 , 1
+ 1 = x12 to be a basic variable . Because this supply is no larger than the
demand of 20 in column 2 , all of it is allocated , X12 = 20 , and this row is
eliminated ...
Page 371
At each iteration , after the difference for every row and column remaining under
consideration is calculated and displayed , the largest difference is circled and
the smallest unit cost in its row or column is enclosed in a box . The resulting ...
At each iteration , after the difference for every row and column remaining under
consideration is calculated and displayed , the largest difference is circled and
the smallest unit cost in its row or column is enclosed in a box . The resulting ...
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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 |