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PROGETTO

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Towards an Abilitant-Ubique SME’s Designed Productive Island.

REFERENZE PROGETTO

CONCEPT

The project concept revolves around a su- stainable factory that can continuously adapt based on operational conditions au- tomatically recorded by an integrated tra- ceability system and supported by a digital twin. This digital twin facilitates the intro- duction of artificial intelligence (AI) ele- ments and Decision Support Systems (DSS). Here, Additive Manufacturing (AM) and Machine Learning (ML) techniques enable the development of know-how useful for technological process control, particularly when production volumes are significant. Additionally, an in-depth study is planned concerning the safety of AM te- chnology due to the emission of ultrafine and fine particles with potential cytotoxici- ty and an in-depth study of reusable or recycled materials for AAA applications.

CONTESTO

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.

Beneficiari

OBIETTIVI E RISULTATI ATTESI

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:

Verifying the sustainability of construction systems;
Applying elements of process mapping automation and process traceability;
Integrating sophisticated sensors and intelligent control systems to make production processes more flexible, efficient, and safe, significantly improving the effectiveness of human-machine collaboration;
Developing a decision support system, leveraging the digital twin, and piloting artificial intelligence algorithms for operations and maintenance management;
Advancing materials and production techniques for additive manufacturing of polymers and composites, supporting a strategy for creating circular and sustainable supply chains that also address safety aspects related to emissions in typical SME work environments;
Creating robust models for LCA (Life Cycle Assessment) analysis applied to additive manufacturing production systems, using primary data and scalable for medium/high volume production;
Conducting a disaggregated analysis of the current and potential roles of various SC actors in circular processes (remanufacturing and symbiotic exchange);
Identifying strengths and bottlenecks in terms of resources, skills, processes, and networks that have characterized the experiences of SMEs pursuing "Made in Italy" pathways with regional supply chains and adopting circular practices

DATI E NUMERI

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PROGETTO

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16

8000

2

14

10

4

7