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 186
... customers are able to perform transactions on their desktop computers either at home or at work . The explosion of the Internet means that many potential customers understand and use the World Wide Web . He therefore feels that if ...
... customers are able to perform transactions on their desktop computers either at home or at work . The explosion of the Internet means that many potential customers understand and use the World Wide Web . He therefore feels that if ...
Page 836
... customers in the queueing system affects the number of potential customers outside the system at any time . However , the finite assumption must be made if the rate at which the input source generates new customers is significantly ...
... customers in the queueing system affects the number of potential customers outside the system at any time . However , the finite assumption must be made if the rate at which the input source generates new customers is significantly ...
Page 841
... customers ) . Another important class is transportation service systems . For some of these sys- tems the vehicles are the customers , such as cars waiting at a tollbooth or traffic light ( the server ) , a truck or ship waiting to be ...
... customers ) . Another important class is transportation service systems . For some of these sys- tems the vehicles are the customers , such as cars waiting at a tollbooth or traffic light ( the server ) , a truck or ship waiting to be ...
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