Advanced control systems for smart factories

Overview

The goal of the COAMP-IRS project is to develop and test advanced techniques to optimally manage and control manufacturing plants, under the industry 4.0 paradigm.

This represents an opportunity to gain competitiveness in manufacturing industries, where ubiquitous communication, sensing, and computation enable the next generation of smart factories.

This is a strategic research field for both Italy and Serbia, give the large share contributed by manufacturing industries to both countries’ GDP, the strong existing synergies, and the prevalence of small and medium enterprises that need innovation to remain competitive in global markets.

 

Our 4 main goals

Derive a control paradigm suitable for large and complex plants.
Develop condition monitoring predictive maintenance and plant reconfiguration schemes
Optimize computational aspects
Testing with simulations and small-scale experiments
In this paradigm, advanced control systems for plant-wide automation represent a crucial keystone, the “brain” of a smart factory. These systems process real-time information to reschedule production to meet the required output, while optimizing cost, material, and energy savings.
- An XYZ machine, capable of realizing tasks such as sorting and filling textboxes

Advanced control systems are also relatively cheap to install in existing plants to improve performance, since they require installing only interfaces (communications, software) and computational nodes, without changing the most expansive parts of the machines.

Morevoer, the use of real-time optimization is currently very limited in the manufacturing field, where heurestic rules are used. The potential for performance improvements is therefore extremely large.

Partners

Politecnico di Milano (Italy)
Departament of Electronic, Information adn Bioengineering
Singidunum University (Serbia)

Stiima – Inteligent Industrila Systems and Technologies for Advanced Manufacturing

Funding

This project is co-funded by a gran from the Italian Ministry of Foreing Affairs
and internation Cooperation (MAECI)

Results

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Improving the productivity with IoT appliances

In this paradigm, advanced control systems for plant-wide automation represent a crucyial keystone, the “brain” of a smart factory. These (…)

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Machine Learning for automation in small food producing factories

In this paradigm, advanced control systems for plant-wide automation represent a crucyial keystone, the “brain” of a smart factory. These (…)

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Machine Learning for automation in small food producing factories

In this paradigm, advanced control systems for plant-wide automation represent a crucyial keystone, the “brain” of a smart factory. These (…)

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Improving the productivity with IoT appliances

In this paradigm, advanced control systems for plant-wide automation represent a crucyial keystone, the “brain” of a smart factory. These (…)

Contact us

Discover how our solutions may help your industry. Or contact us if you want to partner with our team in this initiative. Send us an email at comapirs@deib.polimi.it or fill the form
Control and Optimization for Advanced Manufacturing and Processing
Italy – Republic of Serbia

coampirs@deib.polimi.it

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB):
+39 02 2399 3400
Via Ponzio 34/5, 20133 Milano, Italia
COAMP-IRS – Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB)
Politecnico di Milano, Via Ponzio 34/5, 20133 Milano, Italia