Neutrosophic cognitive map for the analysis of the influence of productive yields and repotentiation of quality systems in the industrial instrumentation process

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Rosendo Arnaldo Gil Avilés
Miguel Francisco Galarza Villalba
Carmen Magalis León Segura
Ismel Bravo Placeres

Abstract

The control instruments are universally accepted, nowadays it is inconceivable the existence of a modern industry without instruments, due to the needs and demands of the markets. Obtaining finished products with the required quality gua-rantees and in sufficient quantity is vital, in order to achieve an adequate competitive price, which forces to modify the industrial environment where it is essential to include industrial automation seen as the process me-diante measurement and control ins-truments. The implementation of control equipment allows to guarantee the security in the processes and the collection of infor-mation to validate that it operates correctly. In accordance with the above, in the present work we examine the potential of industrial instrumentation systems and their influence on the production performance and the benefit of quality systems through the development of a neutrosophic cognitive map, useful to obtain a greater interpretability as far as industrial instrumentation is concerned.

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How to Cite
Neutrosophic cognitive map for the analysis of the influence of productive yields and repotentiation of quality systems in the industrial instrumentation process. (2021). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 11, 73-80. https://fs.unm.edu/NCML2/index.php/112/article/view/84
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How to Cite

Neutrosophic cognitive map for the analysis of the influence of productive yields and repotentiation of quality systems in the industrial instrumentation process. (2021). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 11, 73-80. https://fs.unm.edu/NCML2/index.php/112/article/view/84