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 489
The mean critical path is the path through the project network that would be the
critical path if the duration of each activity equals its mean . Reliable ' s mean
critical path is START - > A - → - → - →→→→→→N FINISH , as highlighted in Fig
.
The mean critical path is the path through the project network that would be the
critical path if the duration of each activity equals its mean . Reliable ' s mean
critical path is START - > A - → - → - →→→→→→N FINISH , as highlighted in Fig
.
Page 491
Approximating the Probability of Meeting the Deadline Let T = project duration (
in weeks ) , which has ( approximately ) a normal distribution with mean Mip = 44
and variance o2 = 9 , d = deadline for the project = 47 weeks . Since the standard
...
Approximating the Probability of Meeting the Deadline Let T = project duration (
in weeks ) , which has ( approximately ) a normal distribution with mean Mip = 44
and variance o2 = 9 , d = deadline for the project = 47 weeks . Since the standard
...
Page 930
( h ) Assume now that the mean service rate of the crew is proportional to the
square root of its size . What should the size be to minimize expected total cost
per hour ? where C , is the marginal cost per unit time for each unit of a server ' s
mean ...
( h ) Assume now that the mean service rate of the crew is proportional to the
square root of its size . What should the size be to minimize expected total cost
per hour ? where C , is the marginal cost per unit time for each unit of a server ' s
mean ...
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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 |