Introduction to Operations Research, Volume 1CD-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 19
Then , even as personnel changes , the system can be called on at regular intervals to provide a specific numerical solution . ... 2.4 provides a good example of a particularly large computer system for applying a model .
Then , even as personnel changes , the system can be called on at regular intervals to provide a specific numerical solution . ... 2.4 provides a good example of a particularly large computer system for applying a model .
Page 83
Thus , the first two types of attributes are input data that will become parameters of the model , whereas the last type ( number of units produced per week of the respective products ) provides the decision variables for the model .
Thus , the first two types of attributes are input data that will become parameters of the model , whereas the last type ( number of units produced per week of the respective products ) provides the decision variables for the model .
Page 170
We have not discussed reduced costs in this chapter because the information they provide can also be gleaned from the allowable ... When the variable is a nonbasic variable , its reduced cost provides some interesting information .
We have not discussed reduced costs in this chapter because the information they provide can also be gleaned from the allowable ... When the variable is a nonbasic variable , its reduced cost provides some interesting information .
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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 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 direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |