Browsing by Author "Ochoa Zezzatti, Alberto"

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Design and implementation of an IoT-based háptical interface implemented by memetic algorithms to improve competitiveness in an industry 4.0 model for the manufacturing sector
(Springer, 2019) Contreras Masse, Roberto Antonio; Ochoa Zezzatti, Alberto; Cossío, Edgar; García, Vicente; Oliva, Diego Alberto; Torres Duran, Raul Gabriel
In the manufacturing industry, priority is given to quality models in the product, in order to make companies competitive, that is why it has been proposed to implement haptic interfaces capable of detecting anomalies in the operation of the electronic equipment of the companies. Cars in the manufacturing sector, that is why through the implementation of Artificial Intelligence and Smart Manufacturing Models, we can get to build intelligent systems for the correct decision making in the auto parts sector in Mexico. Intelligent manufacturing is a subset that employs various techniques of artificial intelligence and emerging technologies coupled with computer control and high levels of adaptability to adapt to changes in product improvement. Intelligent manufacturing is focused on taking advantage of advanced information technologies and even intelligent analysis of data and manufacturing via the Internet of things to allow flexibility in physical processes to address a dynamic market in each society and from a global perspective. There is more training related to the implementation of artificial intelligence of the workforce for such flexibility of adaptability of products and use of emerging technology instead of specific tasks as is usual in traditional manufacturing, and which requires a larger group of individuals for it.