Productivity improvement in the wood industry using simulation and artificial intelligence

Author

Baesler, Felipe F. ; Moraga, Milton ; Ramis, Francisco J.

Author_Institution

Departamento de Ingenieria Ind., Univ. del Bio-Bio, Concepcion, Chile

Volume

2

fYear

2002

fDate

8-11 Dec. 2002

Firstpage

1095

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 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.

Keywords

artificial intelligence; genetic algorithms; manufacturing data processing; manufacturing resources planning; optimisation; simulation; wood processing; ARENA; Chilean mill; artificial intelligence; average cycle time; genetic algorithm heuristic; optimization; plant resources configuration; production line; productivity improvement; secondary manufacturing wood processing plant; simulation; wood industry; Artificial intelligence; Genetic algorithms; Manufacturing processes; Milling machines; Optimization methods; Production; Productivity; Pulp manufacturing; Virtual manufacturing; Wood industry;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference, 2002. Proceedings of the Winter

Print_ISBN

0-7803-7614-5

Type

conf

DOI

10.1109/WSC.2002.1166362

Filename

1166362