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
C ( a ) Suppose that the estimates for c , and ca are correct but the estimates for both b , and b2 are incorrect . Consider the following four cases where the true values of b , and b2 differ from their estimates by the same percentage ...
C ( a ) Suppose that the estimates for c , and ca are correct but the estimates for both b , and b2 are incorrect . Consider the following four cases where the true values of b , and b2 differ from their estimates by the same percentage ...
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 days . What are the resulting estimates of the ...
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 days . What are the resulting estimates of the ...
Page 518
Using the PERT three - estimate approach , Bill has obtained the estimates in the table below for how long these tasks will take . Also shown are the precedence relationships for these tasks . Time Required T ( a ) Find the mean ...
Using the PERT three - estimate approach , Bill has obtained the estimates in the table below for how long these tasks will take . Also shown are the precedence relationships for these tasks . Time Required T ( a ) Find the mean ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 other sections not shown
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
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