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 487
Similarly , an approximate formula for μ is μ = o + 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 ...
Similarly , an approximate formula for μ is μ = o + 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 ...
Page 517
Note that the estimated durations of the activities in this figure turn out to be the same as the mean durations given in Table 10.4 ( Sec . 10.4 ) when using the PERT three - estimate approach . Now suppose that the pessimistic ...
Note that the estimated durations of the activities in this figure turn out to be the same as the mean durations given in Table 10.4 ( Sec . 10.4 ) when using the PERT three - estimate approach . Now suppose that the pessimistic ...
Page 518
For each of the 10 activities , here are the three estimates that led to the estimates of the mean and variance of the ... Using the PERT three - estimate approach , Bill has obtained the estimates in the table below for how long these ...
For each of the 10 activities , here are the three estimates that led to the estimates of the mean and variance of the ... Using the PERT three - estimate approach , Bill has obtained the estimates in the table below for how long these ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ 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 |