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 156
A main purpose of sensitivity analysis is to identify the sensitive parameters ( i . e
. , those that cannot be changed without changing the optimal solution ) . The
sensitive parameters are the parameters that need to be estimated with special ...
A main purpose of sensitivity analysis is to identify the sensitive parameters ( i . e
. , those that cannot be changed without changing the optimal solution ) . The
sensitive parameters are the parameters that need to be estimated with special ...
Page 255
existent , so that the parameters in the original formulation may represent little
more than quick rules of thumb provided by harassed line personnel . The data
may even represent deliberate overestimates or underestimates to protect the ...
existent , so that the parameters in the original formulation may represent little
more than quick rules of thumb provided by harassed line personnel . The data
may even represent deliberate overestimates or underestimates to protect the ...
Page 284
Because 0 = 1 is the maximum realistic value of 0 , this indicates that cy and c2
together are insensitive parameters with respect to the Variation 2 model in Table
6 . 21 . There is no need to try to estimate these parameters more closely unless ...
Because 0 = 1 is the maximum realistic value of 0 , this indicates that cy and c2
together are insensitive parameters with respect to the Variation 2 model in Table
6 . 21 . There is no need to try to estimate these parameters more closely unless ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
57 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 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
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 |