The 6Ps Migration Model, developed by the Politecnico di Milano, is an advanced tool designed to support SMEs in investigating, assessing and improving their level of maturity with respect to the adoption of circular economy practices, for a more sustainable and innovative future.

Recent advancements in techniques for identifying causal dependencies among variables now enable organizations to leverage recorded data to assess the potential consequences of various interventions under limited conditions—without requiring extensive field testing.

We are pleased to announce that Task 4.4 “Profiler tools development“ was successfully completed in February 2025, marking a significant milestone in our project. The ERQ team played a crucial role in supporting SYX with the fine-tuning of the Production and Worker Profilers. To enhance the effectiveness of these profiling tools, the IntelliLearn has been integrated.

In today’s world, production and sustainability must go hand in hand. Through knowledge sharing, skill development, and the adoption of innovative technologies, we can establish new circular value chains that drive both profitability and sustainability.

Our 6th General Assembly meeting, held in Milan on February 11 and 12, 2025, brought together partners to review progress, address challenges, and plan next steps across various work packages.

Discover how Digital Twins (DTs) are transforming modern manufacturing by bridging physical systems with digital intelligence for advanced monitoring, control, and optimization.

AUTO-TWIN WEBINAR:
“A Context-Aware Framework to Support Decision-Making in Production Planning” with Andrea Marrella.

IBM Research, a partner in the AUTO-TWIN EU project, has released the first open-source library for Causal discovery in business processes, namely Causal Process AI.

EcoSync is a unique, first-of-its-kind advanced conformance checking tool that leverages process mining techniques to help businesses follow best practices and optimize their operations.

PMI is thrilled to announce that their joint research paper was recently presented at the prestigious StochMod2024 Conference, held in Milan from June 5-7.

AUTO-TWIN is part of the showcasing projects of the ENGINE Newsletter!

ERRE QUADRO is continuing to actively collaborate with the project partner SYXIS for the development of the final version of the two tools envisaged by the project, the Production Profiler and the Worker Profiler.

The Auto-Twin project marks a significant stride in the realm of system engineering by demonstrating an exemplary early deployment phase. CORE has successfully navigated the multifaceted challenge of deploying and integrating a suite of microservices.

The Politecnico di Milano (PMI) research team is developing methods and tools for model discovering services and the recent activities on the Auto-Twin first illustrative case have yielded significant findings.

Imagine that you are an operator in an automatic manufacturing line that produces bikes. A few days ago, you started receiving complaint calls from your distributors, reflecting a possible a delay in the lead times of the bikes produced.

As a key part of digital transformation, digital twin is an important concept for achieving smart manufacturing.

CORE Innovation Center (CORE IC) is implementing the Conformance Checking tool, which is part of the AI-Empowering of Green Gateways.