Transforming Quality Control in Manufacturing: An In-Depth Exploration of i4Q Solutions in the FACTOR Pilot Project

[EN] A far-reaching initiative is underway within the European Industrial Data Services for Quality Control in Smart Manufacturing (i4Q) project. This project creates 22 software solutions with the objective of improving the manufacturing process using data and Artificial Intelligence (AI). These so...

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Detalles Bibliográficos
Autores: Mateo-Casalí, Miguel Ángel|||0000-0001-5086-9378, Poler, R.|||0000-0003-4475-6371, Rocamora, Pablo, Giménez, Alfredo, Gómez González, Ana, Martín, Héctor, Mandler, Benjamin, García, Arcadio
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::32b269a1e763f5396940499b0bf6daa2
Acceso en línea:https://riunet.upv.es/handle/10251/235082
Access Level:acceso abierto
Palabra clave:Industry 4.0
Smart manufacturing
Quality control
Edge computing
Descripción
Sumario:[EN] A far-reaching initiative is underway within the European Industrial Data Services for Quality Control in Smart Manufacturing (i4Q) project. This project creates 22 software solutions with the objective of improving the manufacturing process using data and Artificial Intelligence (AI). These solutions are designed to streamline manufacturing processes, emphasizing the fundamental aspects of quality assurance, operational efficiency, and seamless collaboration between manufacturing companies. The practical application of these solutions will be developed in manufacturing environments, allowing them to be tested and proven with accurate Pilot data. One of these pilots is Factor, a manufacturing company dedicated to metal machining and precision turning. This paper covers (i) the introduction of the pilot business process and the project solutions; (ii) the goal that i4Q aims to achieve by the implementation of some of the solutions in Factor; (iii) information on the factory's current Key Performance Indicators after the introduction of the solutions.