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. |
From inside the book
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Page 18
Because these future users ( IBM managers in func- tional areas responsible for implementation of the inventory system ) were skeptical about the system being developed , representatives were appointed to a user team to serve as ad- ...
Because these future users ( IBM managers in func- tional areas responsible for implementation of the inventory system ) were skeptical about the system being developed , representatives were appointed to a user team to serve as ad- ...
Page 782
Silicon Dynamics has developed a new computer chip that will enable it to begin producing and marketing a personal computer if it so desires . Alternatively , it can sell the rights to the computer chip for $ 15 million .
Silicon Dynamics has developed a new computer chip that will enable it to begin producing and marketing a personal computer if it so desires . Alternatively , it can sell the rights to the computer chip for $ 15 million .
Page 950
A production schedule is then 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 ...
A production schedule is then 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 ...
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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