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 18
... developed , representatives were appointed to a user team to serve as ad- visers to the OR team . After a preliminary version of the new system had been developed ( based on a multiechelon inventory model ) , a preimplementation test of ...
... developed , representatives were appointed to a user team to serve as ad- visers to the OR team . After a preliminary version of the new system had been developed ( based on a multiechelon inventory model ) , a preimplementation test of ...
Page 782
... Develop a graph that plots the expected payoff for each of the alternative actions versus the prior probability of selling 10,000 computers . ( c ) Referring to the graph developed in part ( b ) , use algebra to solve for the crossover ...
... Develop a graph that plots the expected payoff for each of the alternative actions versus the prior probability of selling 10,000 computers . ( c ) Referring to the graph developed in part ( b ) , use algebra to solve for the crossover ...
Page 950
... developed , using the demand and lead time for each component to determine the demand and lead time for the subsequent component in the process . In addition to a master pro- duction schedule for the final product , a bill of materials ...
... developed , using the demand and lead time for each component to determine the demand and lead time for the subsequent component in the process . In addition to a master pro- duction schedule for the final product , a bill of materials ...
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables described dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit 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 |