Productivity improvement: productivity improvement in the wood industry using simulation and artificial intelligence

  • Authors:
  • Felipe F. Baesler;Milton Moraga;Francisco J. Ramis

  • Affiliations:
  • Universidad del Bío-Bío, Concepción, Chile;Universidad del Bío-Bío, Concepción, Chile;Universidad del Bío-Bío, Concepción, Chile

  • Venue:
  • Proceedings of the 34th conference on Winter simulation: exploring new frontiers
  • Year:
  • 2002

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Abstract

The objective of this article is to present the results obtained after using a simulation optimization methodology applied to a production line from a secondary manufacturing wood processing plant of a well known Chilean mill. For this reason a simulation model constructed in ARENA, was integrated to a genetic algorithms heuristic. The results obtained show that using a different configuration of the plant resources, it is possible to reduce the total average cycle time in 18%. The resource configuration needed to reach this result was obtained evaluating just 1.6% of the total number of possible combinations.