Productivity improvement in the wood industry using simulation and artificial intelligence
FF Baesler, M Moraga, FJ Ramis - Proceedings of the Winter …, 2002 - ieeexplore.ieee.org
FF Baesler, M Moraga, FJ Ramis
Proceedings of the Winter Simulation Conference, 2002•ieeexplore.ieee.orgThe 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 algorithm 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 …
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 algorithm 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 …
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 algorithm 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.
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