The application of distributed intelligence to reduce the bullwhip effect
Résumé
This article applies distributed intelligence to the bullwhip or Forrester effect, which it manages to reduce in a range of time series to which a genetic algorithm was applied. There are four parts to the article. The first provides an overview of the Forrester, or Bullwhip, effect. The second not only describes the genetic algorithms in terms of being devices that provide the model with intelligence but also introduces the agent network and the general model that supports them. The third describes the software used in the model that this article describes. The final section provides numeric examples, and draws a number of conclusions.
Origine : Fichiers produits par l'(les) auteur(s)
Loading...