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 69
Each functional constraint The spreadsheet layout shown in Fig . 3.14 includes
all these components . The parameters for the functional constraints are in rows 5
, 6 , and 7 , and the coefficients for the objective function are in row 8. The values
...
Each functional constraint The spreadsheet layout shown in Fig . 3.14 includes
all these components . The parameters for the functional constraints are in rows 5
, 6 , and 7 , and the coefficients for the objective function are in row 8. The values
...
Page 215
Ignoring row 0 for the moment , we see that these operations amount to
premultiplying rows 1 to 3 of this tableau by the matrix 1 0 3 0 1 0 0 0 3 Writing
this second tableau as the matrix product shown for iteration 1 ( namely , the
corresponding ...
Ignoring row 0 for the moment , we see that these operations amount to
premultiplying rows 1 to 3 of this tableau by the matrix 1 0 3 0 1 0 0 0 3 Writing
this second tableau as the matrix product shown for iteration 1 ( namely , the
corresponding ...
Page 283
Is it possible to simultaneously change both unit profits through appropriate
shifting of personnel and equipment ? In the feasible region shown in Fig . 6.3 ,
the geometric interpretation of changing the objective function from Z = 3x1 + 5x2
to Z ...
Is it possible to simultaneously change both unit profits through appropriate
shifting of personnel and equipment ? In the feasible region shown in Fig . 6.3 ,
the geometric interpretation of changing the objective function from Z = 3x1 + 5x2
to Z ...
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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 |