Training Archivi - Made

Course on corporate sustainability and circular economy in manufacturing

Introduction

3V Enterprises S.p.A. is an industrial company operating in the chemical and manufacturing sector, with a strong focus on innovation and sustainability. The company operates internationally, offering high value-added solutions for numerous production sectors.

The problem

As the regulatory and market environment has evolved, 3V Enterprises has recognised the urgent need to strengthen its managerial expertise in sustainability.

It was necessary to provide senior management with the tools to understand the main ESG drivers, address internal barriers to change and structure a robust approach to sustainability reporting, in order to guide the transition towards a more responsible business.

The solution

MADE designed a customised training programme for C-Level executives, structured in two phases. The first phase, in asynchronous mode, provided the theoretical foundations to standardise initial knowledge.

The second phase, held in person, combined lectures on European regulations, ESG, circular economy and sustainability with practical sessions focused on the specific context of the company.
The approach included exercises on double materiality analysis and Life Cycle Assessment, key tools for setting up a strategic plan and drafting the first Sustainability Report.

Technologies and methodologies

Materiality and double materiality analysis

Life Cycle Assessment (LCA)

ESG framework and European regulations

Sustainability reporting

Impacts

The project strengthened the skills of senior management, laying the foundations for a structured and informed approach to sustainability. It also launched an internal process to integrate ESG metrics into governance, helping to make the company more resilient, transparent and competitive in an increasingly sustainability-oriented market.

Benefits for the company

Greater strategic awareness of ESG and circular economy issues

Internal capacity to launch and manage the first Sustainability Report

Reduced risk of greenwashing thanks to targeted communication skills

Compliance with regulations and implementation of a sustainable plan in line with European standards

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Experience artificial intelligence solutions

On-demand training Basic Online Additive manufacturing

Training pill – Additive manufacturing

Understanding of additive technologies, industrial applications, and digital and sustainable transitions.

Sustainability Large enterprise Consulting Monitoring and control Manufacturing/production

CircularMan: Circularity analysis and sustainable roadmap integration

The CircularMan project aims to assess Trocellen's level of maturity in the circular economy, defining a strategic roadmap to optimize corporate sustainability.

Sustainability Medium enterprise Consulting Energy efficiency and monitoring Manufacturing/production

Digital strategy for sustainability

The project defined an evolutionary model to guide Rhea Vendors towards a sustainable digital factory, integrating 4.0 technologies and energy efficiency strategies.

Artificial Intelligence

Artificial Intelligence optimizes every stage of production, reducing costs and improving operational quality. In quality control, artificial vision systems and machine learning detect defects before they impact production. Predictive maintenance analyzes critical parameters to reduce machine downtime. Autonomous guided systems manage material handling with optimized routes. Advanced industrial data analysis improves planning, energy efficiency, and supply chain management. Indeed, AI for operator assistance provides support with intelligent chatbots and augmented reality, enhancing safety and efficiency.

Connected Infrastructure

The Connected Infrastructure is the cornerstone of industrial digital transformation, enabling the collection and utilization of data from machines, sensors, and software. The digital backbone ensures a continuous flow of information between departments and plants, allowing for predictive analytics and faster decision-making. The use of Big Data Analytics transforms large volumes of data into actionable insights to improve quality, energy efficiency, and productivity. Industrial cybersecurity protects sensitive data from cyber threats, ensuring operational continuity. With this digital infrastructure, companies can reduce waste, anticipate failures, and make processes more sustainable.

Logistics

The digital transformation of logistics and production enables intelligent control of the supply chain and production processes. Thanks to IoT and smart sensors, it is possible to collect real-time data to optimize transportation routes and inventory management. Cloud platforms and predictive analytics support dynamic planning, reducing operational costs. The process Digital Twin allows for the simulation of production scenarios and the identification of inefficiencies before they occur. This integrated approach enables more flexible, responsive production that can quickly adapt to market demands.

Product and process development

Product and Process development can be optimized through the combined use of advanced digital technologies, which improve design and industrialization. The digital twin allows for the creation of a virtual replica of the product or production process to analyze performance and identify issues before physical implementation. Virtual commissioning enables the digital testing of production systems, reducing startup times and the risk of malfunctions. Advanced simulation and virtual reality enhance design and testing, allowing for more accurate planning. With PLM (Product Lifecycle Management), it is possible to manage the entire product lifecycle in an integrated manner, optimizing resources and reducing waste.

Quality

Quality 4.0 represents an evolution in industrial quality control, leveraging advanced digital technologies. Computer vision systems and AI monitor every stage of production, detecting anomalies before they become critical defects. Integration with IoT sensors ensures complete product traceability throughout the supply chain, enhancing the safety and reliability of supplies. Techniques such as X-ray tomography and other non-destructive inspection methods allow for the verification of internal quality without compromising component integrity. This approach reduces waste and rework, optimizing production processes.

Smart Maintenance

Smart Maintenance represents an innovative approach to industrial plant management, leveraging digital tools to prevent failures and reduce operational costs. Predictive maintenance uses IoT sensors and artificial intelligence algorithms to monitor machine conditions and anticipate potential anomalies. Augmented Reality (AR) supports operators with detailed visual instructions, making repairs faster and more accurate. Maintenance planning, based on data analysis and predictive models, optimizes resource usage and reduces downtime. These technologies improve operational continuity and enhance plant safety.

Smart Product and Process

The Intelligent Product and Process enables a new industrial paradigm, where products and machinery are connected and capable of exchanging information in real-time. Thanks to IoT and Smart Connected Products, companies can collect operational data, monitor product conditions, and improve predictive maintenance. Advanced process monitoring allows for the optimization of production and the reduction of waste, while servitization transforms business models, shifting from product sales to the provision of services based on actual use. These technologies enhance operational efficiency and promote more flexible and sustainable production.

Smart Production

Modern industry requires flexible and optimized production systems. Smart Manufacturing integrates advanced digital solutions to improve performance and efficiency. Cobots support operators in repetitive tasks, reducing errors and fatigue. 3D printing enables on-demand production and material optimization. Digital machine monitoring, thanks to IoT and AI, allows anomalies to be identified and consistent quality to be guaranteed. The digital twin of the process allows production scenarios to be simulated and informed decisions to be made. Thanks to these tools, production becomes more responsive, efficient, and sustainable.

Customised course on data culture

Introduction

Gruppo Gaser operates in the field of surface treatments for metal components, serving the mechanical and manufacturing industries with advanced technologies and a strong focus on quality and innovation.

The problem

In the context of digital transformation, Gruppo Gaser identified data management and exploitation as a strategic element. However, cultural and operational barriers threatened to slow down the adoption of advanced technologies such as Artificial Intelligence in business processes.

The solution

A tailor-made training programme has been designed, based on real-life cases and adapted to the business context, to raise awareness of the importance of data.

The course, structured in four phases, included vertical sessions on key operational areas (e.g. documentation and maintenance), lectures by the Politecnico di Milano and activities carried out in collaboration with MADE’s technology partners. The modular approach ensured flexibility and the possibility of evolving the programme in line with future needs.

Technologies and methodologies

Data Governance and Data Strategy

AI applications in manufacturing

Process optimisation through the use of data

Customised phased approach

Impacts

The course promoted a cultural transformation regarding the value of data, enabling the first data-driven initiatives and laying the foundations for the introduction of Artificial Intelligence systems in production processes.

Benefits for the company

Greater corporate awareness of the strategic use of data

Optimisation of key operational activities through data analysis

Enabling the first internal AI projects

Greater efficiency and traceability in business processes

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AI-MATTERS:

Experience artificial intelligence solutions

Contenuto on-demand Base Online Big Data Analytics

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Tools for analyzing, managing, and selecting vendor-independent Big Data solutions.

On-demand training Basic Online

Training pill – Introduction to Artificial Intelligence for Industry 4.0

Course on AI, machine learning, neural networks, data, evaluation, and industrial applications.

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Training pill – Manufacturing 4.0

Course related to 4.0 technologies to digitize production and improve business competitiveness.

Artificial intelligence Large enterprise Consulting AI for data analysis Energy efficiency and monitoring Monitoring and control Manufacturing/production

AI for smart pharmaceutical packaging

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Logistics Large enterprise Consulting Logistics 4.0 Manufacturing/production

Implementation of Demand Driven MRP methodology

Development and implementation of an advanced demand planning and materials management model based on the Demand Driven MRP (DDMRP) methodology to optimise the supply chain.

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Cybersecurity integrata per dispositivi edge e PLC in ambienti IIoT

Analysis and reinforcement of the cybersecurity of the G-Mation P6 edge device, which integrates PLC and IIoT controllers, with the aim of ensuring high performance and cybersecurity.

Artificial Intelligence

Artificial Intelligence optimizes every stage of production, reducing costs and improving operational quality. In quality control, artificial vision systems and machine learning detect defects before they impact production. Predictive maintenance analyzes critical parameters to reduce machine downtime. Autonomous guided systems manage material handling with optimized routes. Advanced industrial data analysis improves planning, energy efficiency, and supply chain management. Indeed, AI for operator assistance provides support with intelligent chatbots and augmented reality, enhancing safety and efficiency.

Connected Infrastructure

The Connected Infrastructure is the cornerstone of industrial digital transformation, enabling the collection and utilization of data from machines, sensors, and software. The digital backbone ensures a continuous flow of information between departments and plants, allowing for predictive analytics and faster decision-making. The use of Big Data Analytics transforms large volumes of data into actionable insights to improve quality, energy efficiency, and productivity. Industrial cybersecurity protects sensitive data from cyber threats, ensuring operational continuity. With this digital infrastructure, companies can reduce waste, anticipate failures, and make processes more sustainable.

Aheda: learning paths for the future

Introduction

Mylia is The Adecco Group’s brand specialising in training and skills development. It supports companies and individuals on their path to continuous growth, offering tailor-made solutions to tackle changes in the world of work in an innovative and sustainable way.

The problem

Traditional training methods are often unable to respond effectively and in a personalised manner to the real needs of individuals and companies. This lack of alignment reduces the positive impact on business and personal growth. It was therefore essential for Mylia to introduce a system capable of better profiling users and providing personalised learning paths, maximising the effectiveness of training interventions.

The solution

Thanks to its collaboration with MADE4.0 and aizoOn, Mylia has digitised the Aheda service, creating a web app to deliver the service journey more efficiently. The solution is designed to collect useful data to test an artificial intelligence-based learning system, with the aim of offering predictive and tailor-made training courses.

Technologies

AI-based probabilistic network for analysing psychosocial dimensions and predicting personalised development paths.

Interactive web app for digital service management and algorithm use, in an integrated phygital experience.

Impacts

The Aheda project enables Mylia to improve its organisational behaviour profiling strategy and align training interventions with individuals’ characteristics. The introduction of an AI-based predictive model allows for the customisation of both individual and group pathways, optimising training investment. The system also feeds into an observatory that compares data across sectors and territories, contributing to the strategic growth of client companies.

Benefits for the company

Optimisation of training strategies with savings on ineffective courses

Greater alignment between developed skills and actual business needs

Strengthening the culture of change through the development of behaviours that are functional to the role

Structured collection of data useful for continuously improving the Aheda model

Competitive positioning as an innovative partner in the B2B training market

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AI-MATTERS:

Experience artificial intelligence solutions

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Course on AI, machine learning, neural networks, data, evaluation, and industrial applications.

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AI for demand planning and production optimization

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ACTOR-ACTIVE MONITORING AI for industrial fire prevention

The project developed a vision algorithm to detect anomalies in processing in real time, preventing fire risks and supporting timely and targeted interventions.

Artificial Intelligence

Artificial Intelligence optimizes every stage of production, reducing costs and improving operational quality. In quality control, artificial vision systems and machine learning detect defects before they impact production. Predictive maintenance analyzes critical parameters to reduce machine downtime. Autonomous guided systems manage material handling with optimized routes. Advanced industrial data analysis improves planning, energy efficiency, and supply chain management. Indeed, AI for operator assistance provides support with intelligent chatbots and augmented reality, enhancing safety and efficiency.

Course on contract industrial IoT integration and development

Introduction

SICAD S.p.A. is a leading manufacturer of adhesive tapes for industrial and professional use, with a consolidated presence on national and international markets. The company stands out for its focus on technological innovation and the quality of its products, which are destined for various application sectors.

The problem

SICAD was faced with the challenge of integrating the Internet of Things into its production processes to accelerate digital transformation.

The appointment of an Industrial Digital Innovation Manager highlighted the need to support this strategic figure with specific skills to drive the adoption of IoT technologies and transform the collected data into concrete value for the company.

The solution

MADE developed a tailor-made training course for SICAD’s Industrial Digital Innovation Manager, with a practical and customised approach. The project started with an assessment of specific skills and needs, followed by theoretical lessons on IoT technologies and practical activities on devices such as Raspberry Pi.

The integration of cloud platforms for the collection and analysis of production data was also fostered, laying the foundation for the development of internal IoT projects aimed at process improvement.

Technologies

Internet of Things (IoT)

Raspberry Pi devices

Cloud platforms for data acquisition and processing

Impacts

The project strengthened internal competencies, making the company capable of independently developing and managing IoT solutions integrated in the operational strategy. The intervention made it possible to launch a concrete project to monitor and process signals from production assets, replacing traditional systems and paving the way for smarter and more efficient resource management.

“This training course exceeded expectations, combining theory and practice in a highly effective approach. For SICAD, it was a turning point: it allowed us to successfully implement our main project and, above all, to acquire fundamental strategic skills. Today, we can interact with technology providers more competently, evaluate their proposals with a critical eye and integrate IoT into our operational strategy. All this has enabled us to strengthen our role as a leader in technological innovation in the sector.”

— Claudio Clerici – Industrial Digital Innovation Manager

Benefits for the company

Increased competitiveness through the adoption of advanced technologies

Increased ability to interact and negotiate with technology providers

Strategic skills enhancement to drive digital innovation

Launching internal IoT projects with a more critical and conscious approach

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AI-MATTERS:

Experience artificial intelligence solutions

On-demand training Basic Online IoT – Smart Connected Product

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Industrial IoT integration and development

Training and support for Industrial Digital Innovation Managers to enable the integration of IoT into business processes.

Connected infrastructure Large enterprise Consulting Industrial cybersecurity Manufacturing/production

Cybersecurity integrata per dispositivi edge e PLC in ambienti IIoT

Analysis and reinforcement of the cybersecurity of the G-Mation P6 edge device, which integrates PLC and IIoT controllers, with the aim of ensuring high performance and cybersecurity.

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Additive manufacturing and sensors for smart heat exchangers

Development of lightweight, connected heat exchangers manufactured using additive manufacturing for critical environments.

Smart production Consulting Collaborative robotics Innovative Start-ups

Development of an automated packaging line for producing jeans.

The development of an automated, digitised jeans packaging line aimed at making on-demand production sustainable and competitive in Western countries by encouraging reshoring.

Product and process development

Product and Process development can be optimized through the combined use of advanced digital technologies, which improve design and industrialization. The digital twin allows for the creation of a virtual replica of the product or production process to analyze performance and identify issues before physical implementation. Virtual commissioning enables the digital testing of production systems, reducing startup times and the risk of malfunctions. Advanced simulation and virtual reality enhance design and testing, allowing for more accurate planning. With PLM (Product Lifecycle Management), it is possible to manage the entire product lifecycle in an integrated manner, optimizing resources and reducing waste.