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 83
... machine : ProdHours Avail product : Profit , Produce . One other key type of information is the number of hours of production time that each unit of each product would use on each of the machines . This number can be viewed as an ...
... machine : ProdHours Avail product : Profit , Produce . One other key type of information is the number of hours of production time that each unit of each product would use on each of the machines . This number can be viewed as an ...
Page 382
... machines of different types . There are four available locations in the shop where a machine could be installed . Some of these locations are more desirable than others for particular machines because of their proxim- ity to work ...
... machines of different types . There are four available locations in the shop where a machine could be installed . Some of these locations are more desirable than others for particular machines because of their proxim- ity to work ...
Page 930
... machines break down according to a Pois- son process at a mean rate of 3 per hour . Nonproductive time on any machine costs the company $ 60 per hour . The company em- ploys a maintenance person who repairs machines at a mean rate of μ ...
... machines break down according to a Pois- son process at a mean rate of 3 per hour . Nonproductive time on any machine costs the company $ 60 per hour . The company em- ploys a maintenance person who repairs machines at a mean rate of μ ...
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