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 486
In reality , the duration of each activity is a random variable having some
probability distribution . The original version of PERT took this uncertainty into
account by using three different types of estimates of the duration of an activity to
obtain ...
In reality , the duration of each activity is a random variable having some
probability distribution . The original version of PERT took this uncertainty into
account by using three different types of estimates of the duration of an activity to
obtain ...
Page 879
Specifically , this distribution would assume that there are fixed probabilities , p
and ( 1 – p ) , for which kind of repair will ... each kind has an exponential
distribution , but that the parameters for these two exponential distributions are
different .
Specifically , this distribution would assume that there are fixed probabilities , p
and ( 1 – p ) , for which kind of repair will ... each kind has an exponential
distribution , but that the parameters for these two exponential distributions are
different .
Page 1149
Given X = 0 , it has a uniform distribution between 5 and 15 . Thus , E ( X ) = 1 .
Obtaining uniform random numbers as instructed at the beginning of the
Problems section , use simulation to estimate E ( X ) . ( a ) Estimate E ( X ) by
generating ...
Given X = 0 , it has a uniform distribution between 5 and 15 . Thus , E ( X ) = 1 .
Obtaining uniform random numbers as instructed at the beginning of the
Problems section , use simulation to estimate E ( X ) . ( a ) Estimate E ( X ) by
generating ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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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