Popolo, Valentina (2023) Development of I4.0 paradigms and methodologies for product recovery. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Development of I4.0 paradigms and methodologies for product recovery |
| Autori: | Autore Email Popolo, Valentina valentina.popolo@unina.it |
| Data: | 9 Marzo 2023 |
| Numero di pagine: | 100 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Industriale |
| Dottorato: | Ingegneria industriale |
| Ciclo di dottorato: | 35 |
| Coordinatore del Corso di dottorato: | nome email D'anna, Andrea anddanna@unina.it |
| Tutor: | nome email Grassi, Andrea [non definito] Gallo, Mose [non definito] |
| Data: | 9 Marzo 2023 |
| Numero di pagine: | 100 |
| Parole chiave: | Industry 4.0, Sustainability, Maintenance, Tool wearing, End-of-Life recovery process, Product 4.0. |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/17 - Impianti industriali meccanici |
| Depositato il: | 21 Mar 2023 09:38 |
| Ultima modifica: | 10 Apr 2025 13:42 |
| URI: | http://www.fedoa.unina.it/id/eprint/15150 |
Abstract
The thesis explores the concept of sustainability, with a focus on the role of maintenance, wear and tear, and end-of-life product recovery in promoting sustainable practices, specifically in the context of Industry 4.0. Industry 4.0 is the fourth industrial revolution, characterized by the integration of advanced technologies such as the Internet of Things (IoT), Digital Twin (DT), and Cyber Physical System (CPS). The research includes an analysis of current industry trends and best practices in several areas. The study shows that Industry 4.0 technologies, such as IoT-enabled predictive maintenance, can significantly improve the efficiency of maintenance and repair programs, reducing downtime and prolonging the life of equipment. Furthermore, the integration of DT and CPS can enable more effective end-of-life product recovery systems, by providing insights into the most valuable components to recover and recycle. For instance, IoT sensors can be used to monitor the condition of products and components in real-time, enabling the prediction of component failures and reducing the need for inventory. The Product 4.0 model is proposed as the fourth generation of product innovation, characterised by the integration of advanced technologies such as IoT, DT and CPS into the product design, development and manufacturing process. Furthermore, the Product 4.0 approach enables products to be easily disassembled, repaired and recycled. It enables the integration of smart sensors and connectivity into products to monitor wear and tear and schedule maintenance and repair activities in real time.
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