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 19
Then , even as personnel changes , the system can be called on at regular
intervals to provide a specific numerical solution . This system ... 4 provides a
good example of a particularly large computer system for applying a model . The
system ...
Then , even as personnel changes , the system can be called on at regular
intervals to provide a specific numerical solution . This system ... 4 provides a
good example of a particularly large computer system for applying a model . The
system ...
Page 83
Thus , the first two types of attributes are input data that will become parameters
of the model , whereas the last type ( number of units produced per week of the
respective products ) provides the decision variables for the model .
Thus , the first two types of attributes are input data that will become parameters
of the model , whereas the last type ( number of units produced per week of the
respective products ) provides the decision variables for the model .
Page 170
We have not discussed reduced costs in this chapter because the information
they provide can also be gleaned from the allowable range to ... When the
variable is a nonbasic variable , its reduced cost provides some interesting
information .
We have not discussed reduced costs in this chapter because the information
they provide can also be gleaned from the allowable range to ... When the
variable is a nonbasic variable , its reduced cost provides some interesting
information .
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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 |