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 298
Consider the following four cases where the true values of b , and be differ from
their estimates by the same percentage : ( 1 ) both b , and b2 are smaller than
their estimates , ( 2 ) both b , and b2 are larger than their estimates , ( 3 ) b , is ...
Consider the following four cases where the true values of b , and be differ from
their estimates by the same percentage : ( 1 ) both b , and b2 are smaller than
their estimates , ( 2 ) both b , and b2 are larger than their estimates , ( 3 ) b , is ...
Page 487
Similarly , an approximate formula for u is M 0 + 4m + p 6 Intuitively , this formula
is placing most of the weight on the most likely estimate and then small equal
weights on the other two estimates . MS Project provides the option of calculating
u ...
Similarly , an approximate formula for u is M 0 + 4m + p 6 Intuitively , this formula
is placing most of the weight on the most likely estimate and then small equal
weights on the other two estimates . MS Project provides the option of calculating
u ...
Page 517
Using the PERT three - estimate approach , the three estimates for one of the
activities are as follows : optimistic estimate 30 days , most likely estimate 36
days , pessimistic estimate 48 days . What are the resulting estimates of the mean
and ...
Using the PERT three - estimate approach , the three estimates for one of the
activities are as follows : optimistic estimate 30 days , most likely estimate 36
days , pessimistic estimate 48 days . What are the resulting estimates of the mean
and ...
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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 constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region 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 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 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 |