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 72
FIGURE 3.19 The Solver Results dialogue box that indicates that an optimal solution has been found . Solver Results Solver found a solution . All constraints and optimality conditions are satisfied . Keep Solver Solution Restore ...
FIGURE 3.19 The Solver Results dialogue box that indicates that an optimal solution has been found . Solver Results Solver found a solution . All constraints and optimality conditions are satisfied . Keep Solver Solution Restore ...
Page 199
Each constraint has an indicating variable that completely indicates ( by whether its value is zero ) whether that constraint's boundary equation is satisfied by the current solution . A summary appears in Table 5.3 .
Each constraint has an indicating variable that completely indicates ( by whether its value is zero ) whether that constraint's boundary equation is satisfied by the current solution . A summary appears in Table 5.3 .
Page 1121
One output cell gives this duration and the other indicates whether this duration meets the deadline by not ex- ceeding 47 weeks ( where 1 indicates yes and 0 indicates no ) . To run this simulation , we chose ...
One output cell gives this duration and the other indicates whether this duration meets the deadline by not ex- ceeding 47 weeks ( where 1 indicates yes and 0 indicates no ) . To run this simulation , we chose ...
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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 assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ 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 |