AUDI

PROJECT

AUDI

Towards an Enabling, Ubiquitous Production Island Designed for SMEs
CONCEPT

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.

Fonte: immagine proprietaria del progetto
CONTEXT

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.

Fonte: immagine proprietaria del progetto

Beneficiari

OBJECTIVES AND EXPECTED RESULTS

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

KEY FIGURES

16

RESEARCHERS INVOLVED

8000

RESEARCH HOURS

2

NEW HIRES EXPECTED

14

PROJECT DURATION

10

NUMBER OF WORK PACKAGES (WPS)

4

STARTING TRL

7

FINAL TRL