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Article Dans Une Revue International Journal of Production Research Année : 2007

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.

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Dates et versions

hal-00512878 , version 1 (01-09-2010)

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David de La Fuente, Jesus Lozano. The application of distributed intelligence to reduce the bullwhip effect. International Journal of Production Research, 2007, 45 (08), pp.1815-1833. ⟨10.1080/00207540500456021⟩. ⟨hal-00512878⟩

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