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Título : A Study on Modeling and Simulation of Automobile Painting Process Based on Flexsim
Autor : Reyes, John
Aldás, Darwin
Castelo, Homer
Velasteguí, Rommel
Rodríguez, Nancy
Suárez, Cristian
Alvarez, Kevin
Fecha de publicación : 2020
Editorial : Advances in Intelligent Systems and Computing. Volume 1078, Pages 260 - 273. 1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019. Ambato. 28 October 2019 through 31 October 2019
Resumen : This research seeks through the simulation software FlexSim 2017 to model, analyze, visualize and optimize the automobile painting process in a mechanical workshop whose areas are: preparation, sanding, painting, baking, washing and storage of automobiles. The methodology used is field research, applied, qualitative and explanatory, obtaining statistical data that is analyzed through the use of software libraries such as Fluid, Time Tables, Process Flow, Expert-Fit and Experimenter. The results of Experimenter identify the bottleneck and on the basis of the simulation, productivity is improved by 27.45%, which represents the processing of another car in the sanding area. These results can be replicated to other industry workshops, achieving substantial improvements in productivity. © Springer Nature Switzerland AG 2020.
URI : https://link.springer.com/chapter/10.1007/978-3-030-33614-1_18
http://repositorio.uti.edu.ec//handle/123456789/3406
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