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. |
From inside the book
Results 1-3 of 50
Page 841
... queueing theory also is applicable to social service systems . For example , a judicial system is a queueing network , where the courts are service facilities , the judges ( or panels of judges ) are the servers , and the cases wait ...
... queueing theory also is applicable to social service systems . For example , a judicial system is a queueing network , where the courts are service facilities , the judges ( or panels of judges ) are the servers , and the cases wait ...
Page 924
... queueing theory to study how to best meet the new service requirements . This resulted in replacing the previous one ... queueing theory . Each specific location ( e.g. , the check - in counters at an air- port ) constitutes a queueing ...
... queueing theory to study how to best meet the new service requirements . This resulted in replacing the previous one ... queueing theory . Each specific location ( e.g. , the check - in counters at an air- port ) constitutes a queueing ...
Page 926
... queueing system ) and many more complicated situations ( e.g. , designing a priority queueing system ) that can also be ana- lyzed in a similar way . Another useful area for the application of queueing theory is the development of poli ...
... queueing system ) and many more complicated situations ( e.g. , designing a priority queueing system ) that can also be ana- lyzed in a similar way . Another useful area for the application of queueing theory is the development of poli ...
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero