Towards Zero Defect and ZeroWaste Manufacturing by Implementing Non-Destructive Inspection Technologies
[EN] This study aims to provide an overview of Zero Defect, Zero Waste, and nondestructive inspection technologies (NDITs), which play a crucial role in the early detection of defects and material consumption in industrial processes. Integrating Zero Defect and Zero Waste strategies with non-destruc...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| 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______::6983f0fa87baa8ae749d51e370b32b23 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/234663 |
| Access Level: | acceso abierto |
| Palabra clave: | Non-destructive technologies Sustainability Zero Waste Zero Defects Quality assurance 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación 12.- Garantizar las pautas de consumo y de producción sostenibles |
| Sumario: | [EN] This study aims to provide an overview of Zero Defect, Zero Waste, and nondestructive inspection technologies (NDITs), which play a crucial role in the early detection of defects and material consumption in industrial processes. Integrating Zero Defect and Zero Waste strategies with non-destructive inspection technologies supports Industry 4.0 by using advanced sensors, robotics, and AI to create smart manufacturing systems that optimise resources and improve quality. The analysis covers the main functionalities, applications and technical specifications of several NDITs to automate the inspection of industrial processes. It also discusses both the benefits and limitations of these techniques through benchmarking. Deploying inspection as a service solution based on NDITs with data-driven decision-making Artificial Intelligence for in-process or in-line inspection policies increases production control by reducing material waste and energy use, and by optimising the final factory cost. After a comprehensive assessment, this paper aims to examine and review recent developments in the Zero Defects and Zero Waste field due to emerging non-destructive inspection systems, and their combination with other technologies, such as augmented reality. Advances in sensors, robotics, and decisionmaking processes through Artificial Intelligence can increase Human¿Robot Collaboration in the inspection process by enhancing quality assurance during production. |
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