The project focuses on creating a sustainable factory capable of continuously adapting to operating conditions through an integrated traceability system and a digital twin. The digital twin enables the integration of artificial intelligence (AI) elements and decision support systems (DSS). Technologies such as additive manufacturing (AM) and machine learning (ML) support the development of skills useful for controlling technological processes, particularly in high-volume production contexts. The project also includes an in-depth study on the safety of additive manufacturing, with a focus on the emission of potentially cytotoxic ultrafine particles, and an analysis of recycled or reusable materials for AAA (High Reliability and High Performance) applications.
Italian SMEs are at the center of a critical challenge: the European Commission, through carbon emission pricing, requires the development of sustainable Supply Chains (SC). Companies are expected to reduce emissions by implementing Circu- lar Economy (CE) initiatives. The literatu- re has provided limited evidence regar- ding the relationship between market proximity, production, and the adoption of CE practices. Therefore, understanding the intersections between micro-level phenomena (green factory design and enabling technologies) and meso-level phenomena (SC structure) represents a significant research gap, especially in the SME scenario, which is characterized by the lack of an internal managerial layer capable of addressing this challenge.
The objective is to provide SMEs with a tailored and sustainable production environment, connected to its digital twin which guides a continuous improvement. This extended production environment must also be integrated into a local, sustainable, and circular supply chain.
The expected outcomes of the research project include:
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Project n.: PE_00000004
MADE IN ITALY CIRCOLARE E SOSTENIBILE
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