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 155
8 This graph shows that the shadow price is yi = { for resource 2 for the Wyndor
Glass Co . problem . The two dots are the optimal solutions for b2 = 12 or b2 = 13
, and plugging these solutions into the objective function reveals that increasing ...
8 This graph shows that the shadow price is yi = { for resource 2 for the Wyndor
Glass Co . problem . The two dots are the optimal solutions for b2 = 12 or b2 = 13
, and plugging these solutions into the objective function reveals that increasing ...
Page 181
8 to determine the shadow prices for the respective resources . ( b ) Use
graphical analysis to perform ... linear programming problem . Maximize Z = 4x , +
2x2 , subject to 2x s16 ( resource 1 ) X ; + 3x2 5 17 ( resource 2 ) x2 = 5 (
resource 3 ) ...
8 to determine the shadow prices for the respective resources . ( b ) Use
graphical analysis to perform ... linear programming problem . Maximize Z = 4x , +
2x2 , subject to 2x s16 ( resource 1 ) X ; + 3x2 5 17 ( resource 2 ) x2 = 5 (
resource 3 ) ...
Page 241
erates at a strictly positive level ( x ; > 0 ) , the marginal value of the resources it
consumes must equal ( as opposed to exceeding ) the unit profit from this activity
. The second statement implies that the marginal value of resource i is zero ( y ...
erates at a strictly positive level ( x ; > 0 ) , the marginal value of the resources it
consumes must equal ( as opposed to exceeding ) the unit profit from this activity
. The second statement implies that the marginal value of resource i is zero ( y ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
59 other sections not shown
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Common terms and phrases
activity additional algorithm allocation 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 distribution dual problem entering equal equations estimates example feasible 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 nonnegative 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 transportation 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 |