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 54
In this particular problem , the decisions to be made are well defined , but the appropriate means of conveying this information may ... ( Try it and see if you first obtain the following inappropriate choice of decision variables . ) ...
In this particular problem , the decisions to be made are well defined , but the appropriate means of conveying this information may ... ( Try it and see if you first obtain the following inappropriate choice of decision variables . ) ...
Page 73
3.1 and 3.4 , the model sizes range from three functional constraints and two decision variables ( for the Wyndor and radiation therapy problems ) up to 17 functional constraints and 12 decision variables ( for the Save - It Company ...
3.1 and 3.4 , the model sizes range from three functional constraints and two decision variables ( for the Wyndor and radiation therapy problems ) up to 17 functional constraints and 12 decision variables ( for the Save - It Company ...
Page 75
With 10 plants , 10 machines , 10 products , and 10 months , this gives a total of 21,000 decision variables , as outlined below . Decision Variables . 10,000 production variables : one for each combination of a plant , machine ...
With 10 plants , 10 machines , 10 products , and 10 months , this gives a total of 21,000 decision variables , as outlined below . Decision Variables . 10,000 production variables : one for each combination of a plant , machine ...
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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 |