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 127
TABLE 4.6 First two simplex tableaux for the Wyndor Glass Co. problem Coefficient of : Iteration Basic Variable Eq . Z X1 X2 X3 X4 X5 Right Side 0 *** N Z ( 0 ) 1 -3 -5 0 0 0 0 X3 ( 1 ) 0 1 0 1 0 0 4 ΧΑ ( 2 ) 0 X5 ( 3 ) 0 03 2 0 1 0 12 ...
TABLE 4.6 First two simplex tableaux for the Wyndor Glass Co. problem Coefficient of : Iteration Basic Variable Eq . Z X1 X2 X3 X4 X5 Right Side 0 *** N Z ( 0 ) 1 -3 -5 0 0 0 0 X3 ( 1 ) 0 1 0 1 0 0 4 ΧΑ ( 2 ) 0 X5 ( 3 ) 0 03 2 0 1 0 12 ...
Page 197
5.1 for the Wyndor Glass Co. example . For the CPF solution ( 2 , 6 ) , its adjacent CPF solutions are ( 0 , 6 ) and ( 4 , 3 ) , and neither has a bet- ter value of Z than ( 2 , 6 ) does . This outcome implies that none of the other CPF ...
5.1 for the Wyndor Glass Co. example . For the CPF solution ( 2 , 6 ) , its adjacent CPF solutions are ( 0 , 6 ) and ( 4 , 3 ) , and neither has a bet- ter value of Z than ( 2 , 6 ) does . This outcome implies that none of the other CPF ...
Page 295
Consider the following problem . Maximize Z = c1x1 + € 2X2 , subject to - 2x1 = x2 = b1 x1 - x25b2 = 6.7-13 . Consider Variation 5 of the Wyndor Glass Co. model ( see Fig . 6.6 and Table 6.24 ) , where the changes in the parameter val- ...
Consider the following problem . Maximize Z = c1x1 + € 2X2 , subject to - 2x1 = x2 = b1 x1 - x25b2 = 6.7-13 . Consider Variation 5 of the Wyndor Glass Co. model ( see Fig . 6.6 and Table 6.24 ) , where the changes in the parameter val- ...
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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 assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ 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 |