Projects
MADE – Competence Center Industry 4.0 offers support to facilitate companies to implement innovation projects of products and production processes. A concrete activity to support business made possible by the technical resources, human capital, and network of companies that collaborate with MADE.
The digital transformation of manufacturing processes with a focus on Industry 4.0 can be defined as the sequence of activities that every company must perform to learn how to govern the new competitive scenarios that will revolutionize the foundations of different businesses, with the support of digital practices, skills, and technologies.
For technology transfer projects, we cover:
Industry 4.0 Strategy
A business analysis and development service with a rigorous and qualified approach to identify which digital solutions to implement in the short term for greater efficiency of industrial processes.
Technology Scouting
MADE is a consortium of companies, universities, and public bodies. Thanks to this model, it is possible to ensure a wide, depth, and qualitative search for technologies best suited to develop product and process innovation to ensure the identification of the most appropriate technologies and technology partners.
Technology consulting
Concrete support for the implementation of technological, organizational, and management solutions to improve the processes of companies with a view to Industry 4.0 and optimize industrial processes digitally.
Innovation, industrial research, and experimental development projects
Collaborative activities to support the translation of innovative ideas into demonstrable concepts. Technological innovation is applied to develop new solutions, products, and services or improve existing ones.
Demo, Test before Invest, and Prototyping
The construction of an innovative, market-ready project is the result of a constant process of verification and field testing. Thanks to the large demonstration space and technologies within it, MADE can support decisions by demonstrating the feasibility of a solution even through the replication of industrial scenarios.
Industry 4.0 project validation
Evaluation of adequacy of technologies, methodologies, and execution of innovation projects against the set goals and the state of the art. In addition to projects developed with partners, MADE participates in collaborative R&I projects funded by European (e.g., Horizon 2020, Horizon Europe, EIT Manufacturing), national, and regional (e.g., ERDF funds) programs.
Find out more about the projects
Below are some examples of technology transfer projects managed by MADE – Competence Center Industry 4.0.
If you would like to share a project or for any request
SmartColeSoleHandVibram S.p.A. Research project and development of a collaborative robotic application and intelligent vision system for automating the loading and unloading process and/or defectiveness on rubber sole printing compression presses, and development of an industrial demonstrator |
PASSOMedere S.r.l. Sensored supportive insoles for therapeutic monitoring (digital acquistion and 3D printing) |
DINOTecnologie PM An intelligent vehicle (UGV) to create and manage substratum- infrastructure- environment data capable of operating through a second level unmanned system controlled by an operator, in complete safety. |
D.P.A.ILatteria Soresina Implementation of demand & production planning with integrated artificial intelligence |
KongchipKong The project involves increasing user safety through the support of a device that, via NFC technology, will decrease management errors and monitor device status in real time. |
CYBER_LASLatteria Soresina Planning and implementation of a cyber security policy, through the development of a risk analysis, gap analysis, to strengthen the security of the company. |
Optimage CooperationMeccanica del sarca The project aims to automate the quality process of production lines, carried out until now manually, to improve it by monitoring defects and correcting any drifts. |
MarvinAutomac The Marvin project aims to automate cause and effect correlation analysis to improve monitoring and reduce the risk of error and failure through algorithms, machine learning, and implementation of an IoT platform |
SIMwTFSECO FDS The Marvin project aims to automate cause and effect correlation analysis to improve monitoring and reduce the risk of error and failure through algorithms, machine learning, and implementation of an IoT platform |
TUNNELING 4.0CP Technology S.r.l. Digitalnology S.r.l. The TUNNELING 4.0 project aims to consolidate and integrate the three phases of tunnel excavation, collecting all information through a platform and IoT sensors and the use of mobile devices. |