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 69
Finally , the value of the objective function is entered in cell E8 . Much like the
other values in column E , it is the sum of products . The equation for cell E8 is =
SUMPRODUCT ( C8 : D8 , C9 : D9 ) . The lower right - hand side of Fig . 3 .
Finally , the value of the objective function is entered in cell E8 . Much like the
other values in column E , it is the sum of products . The equation for cell E8 is =
SUMPRODUCT ( C8 : D8 , C9 : D9 ) . The lower right - hand side of Fig . 3 .
Page 148
5x2 terms in the objective function for the Big M method , this objective function is
essentially equivalent to ... Because of these virtual equivalencies in objective
functions , the Big M and twophase methods generally have the same sequence
...
5x2 terms in the objective function for the Big M method , this objective function is
essentially equivalent to ... Because of these virtual equivalencies in objective
functions , the Big M and twophase methods generally have the same sequence
...
Page 273
Analyzing Simultaneous Changes in Objective Function Coefficients .
Regardless of whether x ; is a basic or nonbasic variable , the allowable range to
stay optimal for c ; is valid only if this objective function coefficient is the only one
being ...
Analyzing Simultaneous Changes in Objective Function Coefficients .
Regardless of whether x ; is a basic or nonbasic variable , the allowable range to
stay optimal for c ; is valid only if this objective function coefficient is the only one
being ...
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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 |