Niveles de productos software en la industria 4.0
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Abstract
En el presente artículo, se introduce una tipología de productos software que
específicamente están implantados en la industria manufacturera en la actualidad, de modo tal de
diferenciarlos por niveles de innovación, según el tiempo de uso que lleven en el mercado y el valor
que agreguen en las funciones que cumplen en las estructuras organizativas de las empresas. Esta
tipología permite determinar aquellos productos software que impactan directamente en los niveles
de productividad y permitirían transformar a una compañía en una industria 4.0. El impacto en la industria que generan las nuevas Tecnologías de la Información y la Comunicación
(TICs) favorece la detección de fallos, la mejora de procesos, y la aceleración en los tiempos de
producción, variables todas que alteran sensiblemente los niveles de productividad en los diferentes
sectores industriales donde se implementen. Si bien en la actualidad las empresas utilizan diversos productos software en sus procesos de
administración, comercialización o finanzas, entre otras áreas, la inserción de tecnologías en la
automatización y control de procesos de producción en la industria manufacturera está generando
una nueva revolución industrial que cambia el paradigma de control de procesos mediante la
recolección de muestras probabilísticas para trabajar con la totalidad de los datos, logrando
almacenar y analizar grandes volúmenes de datos en tiempo real, impactando sobre la optimización
de los procesos productivos
The present article introduces a typology of software products that are specifically being implemented in the manufacturing industry at present, in order to differentiate them by levels of innovation, according to the time of use in the market and the value added according to the functions they fulfill in the organizational structures of the companies. This typology allows to determine those software products that directly impact on productivity levels and would allow to transform a company into an industry 4.0. The impact on the industry generated by the new ICTs stimulates the detection of failures, the improvement of processes, and the acceleration in production times, all variables that significantly alter the levels of productivity in the different industrial sectors where they are implemented. Although nowadays companies use different software products in their administration, marketing or finance processes, among other areas, the insertion of technologies in the automation and control of production processes in the manufacturing industry is generating a new industrial revolution that changes the paradigm of process control by collecting probabilistic samples to work with the totality of the data, managing to store and analyze large volumes of data in real time, impacting on the optimization of production processes
The present article introduces a typology of software products that are specifically being implemented in the manufacturing industry at present, in order to differentiate them by levels of innovation, according to the time of use in the market and the value added according to the functions they fulfill in the organizational structures of the companies. This typology allows to determine those software products that directly impact on productivity levels and would allow to transform a company into an industry 4.0. The impact on the industry generated by the new ICTs stimulates the detection of failures, the improvement of processes, and the acceleration in production times, all variables that significantly alter the levels of productivity in the different industrial sectors where they are implemented. Although nowadays companies use different software products in their administration, marketing or finance processes, among other areas, the insertion of technologies in the automation and control of production processes in the manufacturing industry is generating a new industrial revolution that changes the paradigm of process control by collecting probabilistic samples to work with the totality of the data, managing to store and analyze large volumes of data in real time, impacting on the optimization of production processes







