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 199
Recall that each comer-point solution is the simultaneous solution of a system of
n constraint boundary equations, which we called its defining equations. The key
question is: How do we tell whether a particular constraint boundary equation is ...
Recall that each comer-point solution is the simultaneous solution of a system of
n constraint boundary equations, which we called its defining equations. The key
question is: How do we tell whether a particular constraint boundary equation is ...
Page 200
(This case corresponds to a CPF solution that satisfies another constraint
boundary equation in addition to its n defining ... We noted earlier that not every
system of n constraint boundary equations yields a corner-point solution,
because either ...
(This case corresponds to a CPF solution that satisfies another constraint
boundary equation in addition to its n defining ... We noted earlier that not every
system of n constraint boundary equations yields a corner-point solution,
because either ...
Page 222
(b) Develop a table giving each of the CPF solutions and the corresponding
defining equations, BF solution, and nonbasic variables. Calculate Z for each of
these solutions, and use just this information to identify the optimal solution.
(b) Develop a table giving each of the CPF solutions and the corresponding
defining equations, BF solution, and nonbasic variables. Calculate Z for each of
these solutions, and use just this information to identify the optimal solution.
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm alternative amount analysis apply assigned assumed basic variable begin BF solution bound calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize maximum mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit weeks
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 |