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...
| Autores: | , , , , , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2026 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositório: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglês |
| OAI Identifier: | oai:dnet:riunet______::32b269a1e763f5396940499b0bf6daa2 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/235082 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Industry 4.0 Smart manufacturing Quality control Edge computing |
| Resumo: | [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. |
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