Análisis exhaustivo de los principios de diseño en el contexto de Industria 4.0

Belman-López, Carlos Eduardo; Jiménez-García, José Alfredo; Hernández-González, Salvador

doi:10.4995/riai.2020.12579

Cited by 28 publications

(20 citation statements)

References 92 publications

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“…Esta lista es ampliada en Ghobakhloo (2016) añadiendo otros principios no tan vinculados a una solución implementable sino a aspectos generales y muy relevantes a tener en cuenta como son la integración horizontal y vertical, la personalización del producto o la responsabilidad social corporativa. En Belman-López et al (2020), realizan un análisis del significado y las implicaciones de la I4.0 y exponen de forma detallada 17 principios de diseño fundamentales obtenidos a través de un estudio de mapeo sistemático: eficiencia, integración, flexibilidad, descentralización, personalización, virtualización, seguridad, solución holística, orientada a servicios, ubicua, colaborativa, modular, robusta, que utiliza información en tiempo real, sirve para la toma de decisiones optimizadas por los datos, equilibra la vida laboral, es autónoma e inteligente.…”

Section: Principios De Diseño Para La I40unclassified

Arquitectura de referencia para el diseño y desarrollo de aplicaciones para la Industria 4.0

Dintén

Martínez

Zorrilla

2021

Rev. iberoam. autom. inform. ind.

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<p><span>La implementación práctica de la Industria 4.0 requiere la reformulación y coordinación de los procesos industriales. Para ello se requiere disponer de una plataforma digital que integre y facilite la comunicación e interacción entre los elementos implicados en la cadena de valor. Actualmente no existe una arquitectura de referencia (modelo) que ayude a las organizaciones a concebir, diseñar e implantar esta plataforma digital. Este trabajo proporciona ese marco e incluye un metamodelo que recoge la descripción de todos los elementos involucrados en la plataforma digital (datos, recursos, aplicaciones y monitorización), así como la información necesaria para configurar, desplegar y ejecutar aplicaciones en ella. Asimismo, se proporciona una herramienta compatible con el metamodelo que automatiza la generación de archivos de configuración y lanzamiento y su correspondiente transferencia y ejecución en los nodos de la plataforma. Por último, se muestra la flexibilidad, extensibilidad y validez de la arquitectura y artefactos software construidos a través de su aplicación en un caso de estudio.</span></p>

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Section: Principios De Diseño Para La I40unclassified

Arquitectura de referencia para el diseño y desarrollo de aplicaciones para la Industria 4.0

Dintén

Martínez

Zorrilla

2021

Rev. iberoam. autom. inform. ind.

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“…They only require pairs of input and output data of the process being controlled [ 10 ] ( Section 1 ). Not only this, the digital transformation and the Industry 4.0 paradigm is motivating the adoption of data-driven methods and ANNs in the modelling and control processes [ 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning

Pisa

Morell

Vilanova

et al. 2021

Sensors

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Industrial environments are characterised by the non-lineal and highly complex processes they perform. Different control strategies are considered to assure that these processes are correctly performed. Nevertheless, these strategies are sensible to noise-corrupted and delayed measurements. For that reason, denoising techniques and delay correction methodologies should be considered but, most of these techniques require a complex design and optimisation process as a function of the scenario where they are applied. To alleviate this, a complete data-based approach devoted to denoising and correcting the delay of measurements is proposed here with a two-fold objective: simplify the solution design process and achieve its decoupling from the considered control strategy as well as from the scenario. Here it corresponds to a Wastewater Treatment Plant (WWTP). However, the proposed solution can be adopted at any industrial environment since neither an optimization nor a design focused on the scenario is required, only pairs of input and output data. Results show that a minimum Root Mean Squared Error (RMSE) improvement of a 63.87% is achieved when the new proposed data-based denoising approach is considered. In addition, the whole system performance show that similar and even better results are obtained when compared to scenario-optimised methodologies.

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“…We propose to increase system flexibility without using templates or prior knowledge of the shoe model, and without relying on reinforcement learning. Our goal is to move towards a flexible and automated footwear industry 4.0 according to the fundamental underlying design principle presented in [20].…”

Section: Introductionmentioning

confidence: 99%

Towards footwear manufacturing 4.0: shoe sole robotic grasping in assembling operations

Oliver

Gil

Gómez

et al. 2021

Int J Adv Manuf Technol

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In this paper, we present a robotic workcell for task automation in footwear manufacturing such as sole digitization, glue dispensing, and sole manipulation from different places within the factory plant. We aim to make progress towards shoe industry 4.0. To achieve it, we have implemented a novel sole grasping method, compatible with soles of different shapes, sizes, and materials, by exploiting the particular characteristics of these objects. Our proposal is able to work well with low density point clouds from a single RGBD camera and also with dense point clouds obtained from a laser scanner digitizer. The method computes antipodal grasping points from visual data in both cases and it does not require a previous recognition of sole. It relies on sole contour extraction using concave hulls and measuring the curvature on contour areas. Our method was tested both in a simulated environment and in real conditions of manufacturing at INESCOP facilities, processing 20 soles with different sizes and characteristics. Grasps were performed in two different configurations, obtaining an average score of 97.5% of successful real grasps for soles without heel made with materials of low or medium flexibility. In both cases, the grasping method was tested without carrying out tactile control throughout the task.

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Análisis exhaustivo de los principios de diseño en el contexto de Industria 4.0

Cited by 28 publications

References 92 publications

Arquitectura de referencia para el diseño y desarrollo de aplicaciones para la Industria 4.0

Arquitectura de referencia para el diseño y desarrollo de aplicaciones para la Industria 4.0

Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning

Towards footwear manufacturing 4.0: shoe sole robotic grasping in assembling operations

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