Introduction to Operations Research, Volume 1CD-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 360
Scheduled Installations Maximum Production Unit Cost * of Production Unit Cost * of Storage Month 25 35 1 2 3 4 10 15 25 20 ... Thus , the cumulative number of engines produced by the end of months 1 , 2 , 3 , and 4 must be at least 10 ...
Scheduled Installations Maximum Production Unit Cost * of Production Unit Cost * of Storage Month 25 35 1 2 3 4 10 15 25 20 ... Thus , the cumulative number of engines produced by the end of months 1 , 2 , 3 , and 4 must be at least 10 ...
Page 518
A 1.5 months 2 months 15 months P ( a ) Construct the project network for this project . B 2 months 3.5 months 21 months I ( b ) Find the estimate of the mean and variance of the duration 1 month 1.5 months 18 months of each activity .
A 1.5 months 2 months 15 months P ( a ) Construct the project network for this project . B 2 months 3.5 months 21 months I ( b ) Find the estimate of the mean and variance of the duration 1 month 1.5 months 18 months of each activity .
Page 1039
You are using the moving - average forecasting method based upon sales in the last three months to forecast sales for the next month . When making the forecast for last month , sales for the third month before were 805.
You are using the moving - average forecasting method based upon sales in the last three months to forecast sales for the next month . When making the forecast for last month , sales for the third month before were 805.
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero