The efficiency wages in the Urabá banana sector-Colombia Fecha de recepción: marzo 17 de 2016 Fecha de aceptación: mayo 11 de 2017 revista de economía del caribe n°. 20 issn: 2011-2106 (impreso) issn: 2145-9363 (on line) * Corporación Universitaria Iberoamericana, docente investigadora. dgutierrezm@ iberoamericana.edu.co. Apoyo recibido: Augura.

We report the use of fuzzy logic type 1 and 2 for industrial process control, as well as the implementation of an industrial PLC (PLC) and comparisons across the parameters of performance ISE, IAE, control effort. Matlab software is used to develop the machines, a type of fuzzy inference and two kinds Mandami, which helped get the parameters that were sent through a multilayer neural network to the PLC, the utility of the OPC and for the control of variables Process flow and level KEY WORDSPLC, Fuzzy logic type 1, Fuzzy logic type 2, Neural networks, Fuzzy Logic system , OPC Server. RESUMENSe presenta el uso de la lógica fuzzy tipo 1 y 2 para el control de procesos industriales, así como la implementación en un autómata programable