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 116
Thus , two of the variables ( called the nonbasic variables ) are set equal to zero , and then the simultaneous solution of the three ... The number of basic variables equals the number of functional constraints ( now equations ) ...
Thus , two of the variables ( called the nonbasic variables ) are set equal to zero , and then the simultaneous solution of the three ... The number of basic variables equals the number of functional constraints ( now equations ) ...
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 ...
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 ...
Page 487
Similarly , an approximate formula for u is M 0 + 4m + P 6 1 Intuitively , this formula is placing most of the weight on the most likely estimate and then small equal weights on the other two estimates . MS Project provides the option ...
Similarly , an approximate formula for u is M 0 + 4m + P 6 1 Intuitively , this formula is placing most of the weight on the most likely estimate and then small equal weights on the other two estimates . MS Project provides the option ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 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 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 |