ENG

ROPPENP

Introduction

Limea-Fisma S.p.A. is an Italian company specializing in the production of lightweight metal packaging. For over 75 years, Limea-Fisma has been a benchmark in the sector, offering steel and tin packaging solutions for industry, with a strong presence on international markets.

The problem

Undertake a review of the company’s production lines with a view to Lean Manufacturing in order to achieve a significant increase in productivity through the reorganization of production flows.
The organizational redefinition of processes also includes evaluating the possible introduction of automated warehouses and the synergies resulting from the construction of a second production plan, adjacent to the existing one.
The goal is to implement a “Kaizen Program for Excellence” that includes:

Optimize production and process flows in the current plant in order to increase productivity through a study that also includes an assessment of the introduction of an automatic warehouse for semi-finished and/or finished products, which is currently lacking.

Define the activities and processes for a second production plant, to be built in the near future.

The solution

“Technology Consulting” is the tool that MADE makes available to manufacturing companies to provide concrete support for the implementation of technological, organizational, and management solutions designed to improve business processes with a view to Industry 4.0, through consulting and feasibility studies.
Based on the study conducted by MADE4.0 consultants and the comparison of hypothetical layout scenarios for the allocation of production lines (new and existing), the best solution for increasing and streamlining the company’s productivity has been identified.

The project will enable the development of a 2D simulation of the layout capable of analyzing bottlenecks and, in general, increasing production capacity by ensuring optimal process flow, from the entry of raw materials to the exit of the finished product from the factory warehouse, as a tool to support the decision-making process.

Desired impacts

With the proposed project, Limea-Fisma expects several significant industrial benefits and impacts, particularly in terms of competitiveness, safety, and sustainability.
The optimization and re-engineering of processes from a Lean perspective, leading to a reduction in internal transport and transit times, will result in lower energy consumption, with significant impacts on OEE and energy consumption.

There will also be a reduction in the risk of obsolescence and damage due to transport, as well as the creation of space for further automation of business processes, together with improved traceability and selectivity of goods.

Benefits for the company

In terms of expected results, production is expected to increase by 10% in the current plant, thanks to the reengineering of processes with a view to continuous improvement, and a further increase in production capacity and process standardization with the new plant, which will have synergistic processes and activities with the current one.

Thanks to the improvement initiatives that emerged from the design study, it will be possible to implement a warehouse renovation program, resulting in optimization and reduction of space required for storage of materials on the production line and in passageways, with benefits both in terms of operations and in terms of health and safety risks for operators.

Risk Assessment & Security Analytics

Introduction

Hi-Lex Italy S.p.A. is a leading company in the automotive sector, specializing in the design and manufacture of control systems for vehicles.

The problem

This project stems from the need to comply with the automotive industry’s cybersecurity requirements. In recent years, the automotive industry has undergone significant technological changes and has become aware of the fact that there is a security issue and that cybersecurity is of fundamental importance.

The solution


Hi-Lex Italy has launched a cybersecurity project based on a data-driven approach, overcoming the limitations of traditional analyses based solely on interviews and documentation. Through a Technical Discovery phase and the use of the Enhanced Security Risk Analytics (ESRA) platform, all devices connected to the network were mapped, real vulnerabilities were identified, and priorities for action were defined.

The multi-standard platform integrated up-to-date and near-real-time data, ensuring accurate security assessments, reducing analysis times, and improving consistency between the overall picture and technical details, supporting a structured plan to improve tools, processes, and controls.

Technologies


To achieve the project objective, aizoOn adopted a multidisciplinary cognitive method, which identified, classified, and assessed Hi-Lex’s cybersecurity with a 360-degree approach.
In particular, this made it possible to observe the dynamics related to cybersecurity, integrating
both internal and external perspectives of the observed operational perimeter.

Cyber risk analysis through ESRA enabled risk assessment based on data collected from the systems and therefore detailed for all assets within the perimeter and precisely aligned with the current state of the infrastructure. To achieve this result, ESRA integrated a diverse set of sources:

Process Map – Applications: ESRA provides immediate insight into the applications most affected by operational or highly specialized processes: an immediate view of the propagation of impacts.

Asset Inventory: ESRA uses the most advanced inventory detection tools, allowing accurate, real-time surveys of the systems on the target network and their status in terms of configuration and updates.

Infrastructure Discovery: Real-time reconstruction of internal and external ITC infrastructure.
Traffic data, asset characteristics, and their application relevance enable accurate reconstruction of the risk level on each network element, independently.

Desired impacts

The main impacts of the ESRA project on Hi-Lex Italy were as follows:

Greater awareness of cybersecurity issues among staff, not only IT personnel but also in other departments.

Review of IT security policies to make them more effective

Provision of asset management, patch management, and vulnerability assessment systems

Benefits for the company

For years now, car manufacturers have been requiring their suppliers to obtain specific certifications in many areas, including cybersecurity.

German car manufacturers (Volkswagen Audi Group, BMW) in particular require TISAX certification (based on ISO 27001 and VDA ISA), which includes specific requirements on:

• IT Security / Cyber Security,
• Access management,
• Identity and access management.

The project has therefore enabled the company to strengthen its position in these areas, without which it would not be able to participate in tenders for the development of new business. For years now, car manufacturers have been requiring their suppliers to obtain specific certifications in many areas, including cybersecurity.

Strategy 4.0 – TDK Foil

Introduction

TDK FOIL is a leading manufacturer of advanced materials for the electronics and manufacturing industries, with a strong focus on innovation and the digitalisation of production processes.

The problem

To sustain competitiveness and growth, TDK FOIL needs to understand its level of digital maturity, identify methodologies and technologies to implement, and define priority projects to initiate an effective digital transformation consistent with its business objectives.

The solution

Using MADE’s ‘Industry 4.0 Strategy’ methodology, a customised plan was developed to assess the digital maturity level of business processes, identify strengths and weaknesses, and plan targeted innovation projects. Pilot projects on maintenance 4.0, Big Data Analytics and Digital Twin were launched to guide the company towards an integrated 4.0 paradigm.

Technologies

Digital Transformation

Roadmap 4.0

Strategia Industria 4.0

Impacts

The project made it possible to assess in detail the digital level of each business function, facilitating the identification of opportunities for improvement and the definition of a shared tactical-operational plan, promoting cross-functional collaboration to address the challenges of digitalisation.

Benefits for the company

TDK FOIL has gained greater internal awareness and a clear strategy for adopting digital technologies, optimising time, resources and skills for the implementation of innovation projects, improving efficiency and competitiveness in the global market.

Collaborative robotics for electroplating processes

Introduction

BRG SRL specializes in the treatment and galvanization of metal components, improving their durability and corrosion resistance. The company uses advanced technologies to optimize production processes while ensuring safety and compliance with environmental regulations.

The problem

BRG Zinco faced significant inefficiencies related to the manual handling of baskets containing treated metal components, a physically demanding and unproductive activity. This phase required the continuous use of 2-3 operators, with ergonomic risks and bottlenecks slowing down the process. The use of a motorized hoist and manual procedures for transferring and drying the material limited overall efficiency. Although operating safely, the company recognized the need to introduce automated and adaptive systems to optimize the production cycle, reduce risks, and increase competitiveness.

The solution

The GALBOT project aims to study and integrate an adaptive robotic system into BRG Zinco’s production line in order to make the production process more efficient and safer. The project idea involves studying the current work cycle, in which the operator picks up the treated material, places it in a hydroextractor for drying, and then extracts it for final sorting. The use of a Kuka industrial robotic arm with a maximum load capacity of 120 kg and a range of 2.70 m is planned, together with a series of sensors designed to make the automatic operation adaptive and safe, in compliance with current regulations.

Technologies

Data analytics

Graph Neural Netowork (GNN)

Digitalization

Desired impacts

Production Process Optimization: increased operational efficiency through automation of manual tasks and reduced cycle times for handling and drying operations.

Personnel safety: reduction in the risk of accidents related to the manual handling of heavy loads and improvement in working conditions for operators.

Use of personnel: reassignment of personnel to more skilled and value-added tasks and opportunities for training and development of new technological skills.

Flexibility and Scalability: possibility to adapt the system to future changes or expansions of the production process and ability to integrate additional technologies into the robot.

This new workflow therefore represents the entry point for the proposer, its supply chain, and the local and national manufacturing sector to integrate adaptive automated solutions with the aim of streamlining processes, increasing competitiveness, and improving workplace safety.

Benefits for the company

• Competitiveness and Innovation: improved market competitiveness through the adoption of advanced technologies and the modernization of production processes.

• Increased Efficiency: reduced cycle times through the automation of operations, leading to higher overall productivity.

• Cost Reduction: lower long-term operating costs through reduced manual labor and fewer errors.

• Human Resource Optimization: possibility of reallocating staff to more skilled and strategic tasks, improving the use of human skills.

Automated terrain detection using artificial intelligence.

Introduction

East Trenchers offers technical services and instrumental surveys for infrastructure, with expertise in topography, photogrammetry, LIDAR, GPR, and Tesmec excavation machine rental for large civil engineering projects.

The problem

To reduce dependency and optimise the process, an AI-based software system is needed to automate most of the process, making the operator’s work more efficient and allowing them to focus on value-added activities. Currently, a human operator relies on images and data provided by software following a Ground-Penetrating Radar (GPR) scan of the ground to be excavated to locate and classify underground utilities and buried objects in support of excavation operations. The duration and accuracy of the operation depend heavily on the operator’s experience. To reduce this dependency and optimise the process, an AI-based software system is needed that can automate most of the process, making the operator’s work more efficient and allowing them to focus on value-added activities.

The solution

In order to reduce this dependency and optimize the process, there is a need to develop an Artificial Intelligence (AI)-based software system capable of automating most of the process and thus making the work of the operator more efficient, who will only be involved in value-added activities.

Technologies

Requirements and data analysis

Development of Artificial Intelligence Algorithms

SW Architecture and Interface Development

Creation of a technology demonstrator capable of integrating and refining algorithms and providing initial results.

Desired impacts

Optimization of the process of locating and classifying buried utilities and objects by reducing dependence on human operators

Faster workflow, reduced post-processing times

Greater reliability of operations and results

Benefits for the company

Increased market competitiveness thanks to an innovative solution that delivers reliability, time and resource savings, and speed of execution.

Freedom from proprietary software, thanks to a product.

Roadmap for digital transformation

Introduction

Sacco System is an international biotech group that provides solutions for the food, nutraceutical and pharmaceutical industries. The company develops healthy and functional products, such as lactic ferments, probiotics and enzymes, supporting food culture and well-being with a strong focus on research and innovation.

The problem

As part of its strategic business transformation plan, Sacco places considerable importance on the use of digital technology as a lever for achieving its business objectives. In particular, the creation of a digital strategy and related digital backbone, through the identification of a macro work plan and associated priorities, constraints and value components of each project action, will enable the mapping of the company’s current situation in terms of digital use in terms of systems, governance and organisation, enable the adoption of digital tools, consolidate the value and culture of data within the company, and enhance the company’s competitiveness in terms of services and sustainability.

The solution

The collaboration project with MADE will support Sacco System in the following macro-activities:

Define the motivations and objectives of your data culture growth path.

Objectively assess the state of your information assets and the systems used to collect, store and leverage them.

Gather the necessary elements to formulate a development plan for your data assets and data culture that is tailored to future needs, feasible and capable of delivering value.

The activities involved in digital strategic analysis are described below:

Analysis of the reasons for change.

Analysis of the current situation.

Formulation of the action plan.

Impacts

By adopting the recommendations provided by MADE consultants, benefits are expected in terms of market competitiveness through operational efficiency achieved by automating and optimising processes using digital technologies, thereby reducing operating costs and improving production efficiency. In addition, the ability to implement digital technologies for real-time data collection and analysis will enable rapid adaptation of production to market requirements.

Benefits for the company

In terms of economic benefits, Sacco expects that the opportunities highlighted by the digital roadmap identified by MADE, once implemented, could potentially lead to cost reductions, increased productivity, reduced product time to market and greater customer satisfaction.

In line with the above, i.e. with a view to the next implementation phase, the following KPIs can be cited to measure the expected results:

Operational efficiency in terms of OEE

Reduction of waste in terms of waste-to-output ratio Labour productivity

Customer satisfaction with Net Promoter Score.

Enhanced safety with digital device tracking

Introduction

KONG S.p.A. is an Italian company specializing in the manufacture of personal protective equipment (PPE) and safety equipment. The company has a long tradition in metalworking and the manufacture of carabiners and other tools for mountaineering, rescue, caving, boating, and working at height.

The problem

The project aims to increase user safety through accurate tracking of Personal Protective Equipment (PPE). This makes it easy to monitor its use and life cycle, applying a new level of depth to the requirements of European Regulation 2016/425 and the technical standards applied.

This can be achieved by updating products and introducing cloud-based traceability systems, which will require adapting production processes. These changes will be significant because the production of safety devices requires careful manufacturing. Currently, a large proportion of Category III PPE (i.e. PPE that protects against or reduces the risk of serious or fatal injury) is subject to checks during production and use. Manual traceability is time-consuming and prone to human error, which could reduce the effectiveness of the PPE itself.

Technologies

Cloud computing for information storage and control

IoT systems for computerized device tracking (via NFC)

Cyber security

The computerization of device traceability through NFC technology, linked to a cloud database accessible from any platform connected to the internet, will greatly reduce management errors, enabling continuous monitoring of the status of PPE and its correct assignment, maintenance, and control.

The project will therefore provide support to various stakeholders:

The PPE user, who will be able to quickly consult the data

the person who carries out the inspections

The owner organization

The distributor

The manufacturer

Finally, automated functions can be integrated for calculating deadlines, minimum requirements, and orders.

Desired impacts

It strengthens the relationship between the main players involved in the life of the IPR, from manufacturing to use:

The manufacturer can upload the information and view the status of the PPE, ensuring privacy compliance.

The distributor can easily access the PPE specifications and notifications of recalls or withdrawals from the market, even if they apply to individual items.

The organization that owns the IPR can monitor inventory, employee equipment, status, stock levels, and checks carried out.

The user will be able to check the status of the PPE updated at that moment, without altering the data and without the need for access privileges.

The inspector responsible for the checks uses the information provided directly by the manufacturer and the user without the need for transcription. In this way:

You can inspect PPE without having to consult a paper archive.

Data transcription errors are almost eliminated

The information is updated in real time, allowing for efficient and effective control.

Benefits for the company

Improve device traceability, both internally and externally

Improve the perceived value of devices and simplify the work of inspectors, increasing your competitive advantage.

Increase the availability of information related to product use and lifecycle

AI system for quality control in paper converting

Introduction

ERO S.r.l is a leading manufacturer of gluing and quality control systems for the paper converting industry. It provides advanced technological solutions for the paper converting industry, catering to international customers with high demands in terms of efficiency, precision, and innovation.

The problem

In the paper industry, quality control of the glue applied to boxes is a critical process, often hampered by complex graphics that make visual verification difficult. The market demands increasingly efficient and accurate systems that can reduce waste, minimize non-conformities, and ensure high quality standards without slowing down production.

The solution

Deep Learning for advanced recognition The project introduces a quality control system based on deep learning algorithms, capable of automatically recognizing the correct application of glue even on complex graphic surfaces. The solution improves the accuracy of controls, reduces machine start-up times, and limits human intervention, increasing the efficiency of the entire production line.

Technologies

Artificial Intelligence

Deep Learning for advanced recognition

Machine Vision for automated quality control

Desired impacts

The system will overcome current limitations in glue control on complex cartons, improving the reliability of the production process. Companies in the sector will be able to reduce time and costs, guarantee consistent quality, and further customize product graphics without compromising control.

Benefits for the company

Thanks to the project, ERO will be able to offer an innovative, versatile, and automated system, strengthening its competitive position. The new system will make the offering more attractive to customers with customization and high quality requirements, expanding market opportunities internationally.

Networks protected with AI and cognitive monitoring

Introduction

Easynet Group is a leading IT company focused on advanced technology solutions and innovative digital services.

The problem

The growing importance of business continuity makes it necessary to protect companies from operational disruptions and cyber risks. However, many SMEs do not have sufficient resources to implement advanced network monitoring and security solutions, which are often reserved for large enterprises. This scenario leaves SMEs exposed to increasingly sophisticated threats, making operational resilience a difficult challenge to address.

The solution

The project involves the creation of an advanced NOC (Network Operation Centre) solution, designed to be accessible to SMEs and other organisations with limited budgets, such as professional associations and consulting firms.

Technologies

The advanced NOC integrates latest-generation technologies for predictive and proactive network monitoring:

Cognitive Artificial Intelligence: Real-time learning to identify and respond to new threats.

User Behavior Analytics (UBA): Monitoring devices and user behavior to identify potential risks associated with improper or anomalous network usage.

Advanced Automation: Automatic orchestration of responses to specific events via API integration, reducing manual intervention and the margin for human error.

The system analyses network flows, protocols and applications, using geolocation tools to monitor data sources and destinations. These capabilities enable:

Prevent network compromises.

Detect threats at an early stage.

Optimise overall network performance.

Impacts

The implementation of the advanced NOC will bring numerous benefits:

Proactive Monitoring: Utilising predictive and AI tools to safeguard network resilience and prevent downtime.

Reduction of Human Errors: Automation of repetitive tasks and effective alert management.

Reliable Performance: Improved network management and reduced downtime.

Resource Optimisation: Better load balancing, reduced energy consumption and increased operational efficiency.

Environmental Sustainability: Lower environmental impact thanks to more efficient use of resources.

Better Risk Management: Timely identification and mitigation of security vulnerabilities.

Benefits for the company

The initiative will enable Easynet to achieve important strategic goals:

Protection of the internal network and the company’s Private Data Centre (McKinley and Cerro Torre).

Resellable service: Integration of the Network as a Service offering with an innovative NOC solution aimed at SMEs and consulting firms.

Immersive training platform: Creation of a teaching system for ITS in the field of Cyber Defence, promoting the development of advanced skills.

SIMWTF

Introduction

SECO S.p.A. is a leading Italian company in the development of hardware and software solutions for the Internet of Things (IoT), Edge Computing, and Artificial Intelligence.

The problem

OffGridBox units, devices capable of supplying utilities in isolated critical areas, are not equipped with systems that can guarantee service continuity (energy and drinking water) and connectivity. These are of fundamental importance in emergency situations (reception camps and shelters) and in terms of helping communities living in isolation.

Technologies

IoT solution integrated into an electronic board with microcontroller architecture driven by specially developed firmware and a system of sensors and actuators specific to the chosen context.

Machine learning techniques necessary to enable the application to autonomously take preventive actions in a wide range of conditions (changing weather conditions, real-time monitoring of energy availability, etc.).

Edge computing solution to bring intelligence to the distributed level on OffGridBox units.

Desired impacts

Enables remote control of different OffGridBox units installed in locations even at great distances. The system is able to collect granular data from the unit’s installation context, enabling operational choices necessary for service delivery (heating and water supply, battery charging, etc.).

Enables remote control of different OffGridBox units installed in locations even at great distances.

Make the unit autonomous thanks to machine learning techniques that enable it to understand the operating conditions and take action according to specific algorithms (send alerts, adjust energy consumption as needed, set electricity storage based on the amount of sunlight, etc.).

Benefits for the company

Launch of a new product, which is experiencing growing demand due to the expansion and improvement of available technologies.

Increase competitiveness by expanding your portfolio of managed products.

Product servitization, enhanced by numerous features.