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 838
By the same token , the customers in the waiting line need not be people . For
example , they may be items waiting for a certain operation by a given type of
machine , or they may be cars waiting in front of a tollbooth . It is not necessary
that ...
By the same token , the customers in the waiting line need not be people . For
example , they may be items waiting for a certain operation by a given type of
machine , or they may be cars waiting in front of a tollbooth . It is not necessary
that ...
Page 893
( a ) What is the probability distribution ( including its mean and standard
deviation ) of this customer ' s waiting time in the queue ? ( b ) Determine the
expected value and standard deviation of this customer ' s waiting time in the
system .
( a ) What is the probability distribution ( including its mean and standard
deviation ) of this customer ' s waiting time in the queue ? ( b ) Determine the
expected value and standard deviation of this customer ' s waiting time in the
system .
Page 913
Therefore , little productive output may be lost by having just a few members idle ,
waiting for service in the queueing system , whereas the loss may increase
greatly if a few more members are made idle because they require service .
Therefore , little productive output may be lost by having just a few members idle ,
waiting for service in the queueing system , whereas the loss may increase
greatly if a few more members are made idle because they require service .
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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 |