Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |
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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 1109
Therefore, this theorem implies that the sum of n uniform random numbers has
approximately a normal distribution with mean n/2 and standard deviation V n/12.
Thus, if r,, r2, . . . , r,, are a sample of uniform random numbers, then " 0' Vnl \/n/l2
...
Therefore, this theorem implies that the sum of n uniform random numbers has
approximately a normal distribution with mean n/2 and standard deviation V n/12.
Thus, if r,, r2, . . . , r,, are a sample of uniform random numbers, then " 0' Vnl \/n/l2
...
Page 1146
(b) Now do this by using the table for the nonnal distribution given in Appendix 5
and applying the inverse transfonnation method. R 22.4-12. Obtaining unifonn
random numbers as instructed at the beginning of the Problems section,
generate ...
(b) Now do this by using the table for the nonnal distribution given in Appendix 5
and applying the inverse transfonnation method. R 22.4-12. Obtaining unifonn
random numbers as instructed at the beginning of the Problems section,
generate ...
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Common terms and phrases
activity additional algorithm amount analysis apply approach assignment assumed basic variable begin BF solution calculate called changes column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE first flow formulation given gives hour identify illustrate increase indicates initial inventory involves iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072416181, 9780072416183 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |