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 additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation 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 remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero