Aplicación de algoritmos genéticos para optimizar el modelo de Nils Boysen y Simon Emde con base en la determinación del número de supermercados en un sistema de producción Pull

  • José Roberto Valencia Vera Universidad Autónoma del Estado de Hidalgo
  • Juan Carlos Seck Tuoh Mora Universidad Autónoma del Estado de Hidalgo
  • Joselito Medina Marín Universidad Autónoma del Estado de Hidalgo
Keywords: Supermarket Systems, Genetic Algorithms, Kan-Ban, JIT.

Abstract

The goal of any organization is to increase productivity in lower cost. To achieve this, new technologies and philosophies in JIT and Kan-Ban systems are being sought. The use of "Supermarket Systems" is an evolution of Kan-Ban as one of the tools to achieve JIT production as it seeks to reduce inventories in the production process. The implementation of these systems using genetic algorithms make it expands its area of application and study. This paper presents a resolution of a model of the studies from Nils Boysen and Simon Emde by this method with the aim of extending their area of study on the subject. The results of the study have difficulties in the simulation but they are favorable and similar to those authors presented by other authors.

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References

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Published
2016-07-05
How to Cite
Valencia Vera, J. R., Seck Tuoh Mora, J. C., & Medina Marín, J. (2016). Aplicación de algoritmos genéticos para optimizar el modelo de Nils Boysen y Simon Emde con base en la determinación del número de supermercados en un sistema de producción Pull. Pädi Boletín Científico De Ciencias Básicas E Ingenierías Del ICBI, 4(7). https://doi.org/10.29057/icbi.v4i7.486

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