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 91
( c ) Use the information from part ( b ) to draw a graph of this line . all ) if the profit per wood - framed window decreases from $ 60 to $ 40 ? From $ 60 to $ 20 ? ( e ) Doug is considering lowering his working hours , which would ...
( c ) Use the information from part ( b ) to draw a graph of this line . all ) if the profit per wood - framed window decreases from $ 60 to $ 40 ? From $ 60 to $ 20 ? ( e ) Doug is considering lowering his working hours , which would ...
Page 239
Interpretation of the Dual Problem To see how this interpretation of the primal problem leads to an economic interpretation for the dual problem , note in Table 6.4 that W is the value of Z ( total profit ) at the current iteration .
Interpretation of the Dual Problem To see how this interpretation of the primal problem leads to an economic interpretation for the dual problem , note in Table 6.4 that W is the value of Z ( total profit ) at the current iteration .
Page 297
( a ) What is the optimal solution and total profit ? ( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will the optimal solution change , and what can be said about the effect on total profit ? ( c ) Suppose the profit ...
( a ) What is the optimal solution and total profit ? ( b ) Suppose the profit per gallon of banana changes to $ 1.00 . Will the optimal solution change , and what can be said about the effect on total profit ? ( c ) Suppose the profit ...
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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
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |