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 148
Begin with their objective functions . Big M Method : Minimize Z = 0.4x1 + 0.5x2 +
Mx4 + Mxo . Two - Phase Method : Phase 1 : Phase 2 : Minimize Minimize Z = X4
+ X6 . Z = 0.4x1 + 0.5x2 . Because the Mx4 and Mxo terms dominate the 0.4x ...
Begin with their objective functions . Big M Method : Minimize Z = 0.4x1 + 0.5x2 +
Mx4 + Mxo . Two - Phase Method : Phase 1 : Phase 2 : Minimize Minimize Z = X4
+ X6 . Z = 0.4x1 + 0.5x2 . Because the Mx4 and Mxo terms dominate the 0.4x ...
Page 273
Analyzing Simultaneous Changes in Objective Function Coefficients .
Regardless of whether X ; is a basic or nonbasic variable , the allowable range to
stay optimal for c ; is valid only if this objective function coefficient is the only one
being ...
Analyzing Simultaneous Changes in Objective Function Coefficients .
Regardless of whether X ; is a basic or nonbasic variable , the allowable range to
stay optimal for c ; is valid only if this objective function coefficient is the only one
being ...
Page 698
This procedure is particularly straightforward ; it combines linear approximations
of the objective function ( enabling us to use the simplex method ) with the one -
dimensional search procedure of Sec . 13.4 . A Sequential Linear Approximation
...
This procedure is particularly straightforward ; it combines linear approximations
of the objective function ( enabling us to use the simplex method ) with the one -
dimensional search procedure of Sec . 13.4 . A Sequential Linear Approximation
...
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activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region feasible solutions 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions 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 | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |