Deployment Key Performance Indicators for Sustainable Manufacturing
[EN] The Zero-Defect Manufacturing (ZDM) strategy, particularly the Zero Defect Zero Waste (ZDZW) methodology, emerges as a crucial approach to enhance sustainability in the global manufacturing supply chain. The European Union project `ZDZW¿, focusing on diverse industrial scenarios, addresses chal...
| Autores: | , , , |
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| 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______::a09278857c42a5ec7e3b13841338e9cb |
| Acceso en línea: | https://riunet.upv.es/handle/10251/235086 |
| Access Level: | acceso abierto |
| Palabra clave: | Sustainability Zero defects Zero waste KPI Non-destructive inspection technologies 16.- Promover sociedades pacíficas e inclusivas para el desarrollo sostenible, facilitar acceso a la justicia para todos y crear instituciones eficaces, responsables e inclusivas a todos los niveles |
| Sumario: | [EN] The Zero-Defect Manufacturing (ZDM) strategy, particularly the Zero Defect Zero Waste (ZDZW) methodology, emerges as a crucial approach to enhance sustainability in the global manufacturing supply chain. The European Union project `ZDZW¿, focusing on diverse industrial scenarios, addresses challenges faced by industries such as plastics, metals, energy, ceramics, and consumer goods. Within this framework, the integration of ZDZW technologies, including Non-Destructive Inspection Technologies (NDIT) and artificial intelligence (AI), becomes pivotal. The industrial use case presented involves implementing ZDZW solutions in the thermoforming process for refrigerator inner body parts. This integration aims to automate quality assessment, reduce defects, and optimize production quality. The application of AI-enhanced thermal imaging and digital twin models provides real-time data for quality control, minimizing scrap rates and energy consumption. Sustainable Key Performance Indicators (KPIs) are defined to evaluate the impact of NDIT, emphasizing the reduction of scrap rates, carbon dioxide emissions, and overall environmental impact. The ZDZW methodology, positioned as part of the smart manufacturing ecosystem, contributes to innovative quality assurance, control, and sustainability services, aligning with the growing demand for sustainable production in the face of global challenges and disruptions. |
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