Strategy 4.0 - MCH - Made

Strategy 4.0 – MCH

Introduction

MCH specializes in the design and manufacture of aluminum structural systems, safety guards, conveyor belts, and soundproofing systems, serving various industrial sectors with customized solutions and innovative technologies.

The problem

MCH needs to raise its level of digital maturity to meet the challenges of the modern market. The company requires a structured approach to assess the current state of its processes, identify the most effective methodologies, and define priority innovation projects to initiate its digital transformation towards Industry 4.0.

The solution

Thanks to MADE’s “Industry 4.0 Strategy” service, MCH Srl was able to carry out a detailed assessment of the digital maturity of each business function, identifying its strengths, weaknesses and areas for improvement. A strategic plan was developed to translate the concepts of Industry 4.0 into practical operational steps, guiding the implementation of digital technologies and the development of the necessary skills for effective and sustainable transformation.

Technologies

Digital Transformation

Roadmap 4.0

Technology adoption strategies for Industry 4.0

Desired impacts

The project enabled an in-depth diagnosis of key processes (engineering, production, quality, logistics, maintenance, and supply chain), promoting better internal communication and strategic alignment between business functions. Digital project planning provides concrete support for the business and guides the company toward greater efficiency and effectiveness.

Benefits for the company

– Strategic plan translated into operational actions

– Improved competitiveness in the target market

– Increased internal and external digital awareness

– Strengthened collaboration between business functions

Related insghts

Fundings

Courses

Projects

Technologies

All fundings

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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.

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.

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.

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 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.