Digital Factory Pilot Line
The digital program pilot line is the place where companies can explore the most recent and up-do-date digital technologies that can be adopted in order to boost production efficiency e business competitiveness.
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Discover CIM4.0 Digital Pilot Line with our virtual tour
Digitalization is accessible to all, from the biggest company to the smallest one. And we know how to talk with each of them.
We can support companies in the opportunity analysis phase, understanding the need for innovation from A technological, practical and business-driven point of view. We can help defining an implementation strategy, involving technical managers and interacting with the companies’ operational figures. We support the launch of trial experiments, bringing the technologies into the prototype production space, where it is possible to evaluate KPIs and Benefit/ Cost ratio to associate with foreseen investments. The last step is a long-term strategy execution, which helps defining the plan to transform trials into full-time services.
Advanced robotics systems enable the transformation of industrial operations. Differently from conventional robots, today it is possible to leverage on higher-level security mechanisms, flexible integrability and mobility. These improvements permit a faster setup and programming, preserving the efficiency and reliability of day-by-day operations. This is possible thanks to collaborative robots, which can seamlessly interact with operators, guaranteeing 360° safety while avoiding expensive and invasive protection barriers, and can be programmed according to modern ICT-driven paradigms and integrated into digital virtual environments to be simulated before the commissioning.
Distributed intelligence systems are based on the use of cooperative systems, organized in hardware or software components, that independently handle specialized tasks to achieve system-level goals and a high degree of flexibility. Industrial edges allow data produced by sensor-rich assets like machines, equipment and devices, to be pre-processed in real-time, merging industrial IoT data with operational data. Companies can also take advantage of a Cloud system where it is possible to extensively process the aggregated data, execute critical actions and develop AI-driven business intelligence logics.
Extended Reality (XR)
Extended reality (XR) represents the mixture of augmented reality (AR), virtual reality (VR) and mixed reality (MR) technologies, which tackle various manufacturing domains such as training, education, security and simulation. Thanks to commercially available hardware, the manufacturing industry has seen an increase in the use of advanced XR technologies, shortening the gap between 3D modelling and virtual environment creation. Technologies such as holographic viewers, virtual glasses, smart glasses and smart helmets, become items to design virtual simulation environments and improve the operator’s functionality, impacting the manufacturing business paradigm itself.
Cyber Security & Privacy
The adoption of industry 4.0 technologies brings new cyber risks to the operations and to the business itself. Because of the interconnection of smart factory technologies, cyber threats are frequent and expose people, tools, physical processes, and intellectual property to a high risk. The game has changed: in the past, cybersecurity aimed at preventing only the connections between external and internal areas; today, with machines connected to the cloud, cybersecurity aims at guaranteeing a vertical, active and exhaustive IT/ OT protection.
Flexibility, Ergonomics & Safety
All around the world, manufacturing industries constantly try to improve their productive performance. Lean Production and World Class Manufacturing are the most popular strategies that companies adopt to boost their production efficiency, and they can be implemented not only by big enterprises, but also by SMEs and other realities. Digital technologies supports the adoption of those effective practices, both in the process design phase and at an operational level.
Predictive maintenance aims at using data analysis tools and techniques to detect operational anomalies and possible equipment defects, in order to fix them before the actual failure. Predictive maintenance allows to reduce the frequency of maintenance services as much as possible, preventing unplanned repairs and costs. However, it requires to define a complex plan which deals with data acquisition, data aggregation, cybersecurity, and data management policies. It includes designing sophisticated logics and instruments, as well as the proper user interface to support maintenance staff in efficiently performing their job.
Next Generation Network
The concept of next generation networks is based on enabling extensive and distributed broadband networks to connect companies and shopfloors. Incoming mobile wireless connectivity, like 5G and WiFi6, will boost connection speed, improve battery life, increase network capacity and enlarge the bandwidth with respect to previous generations network. When it comes to Industry 4.0 use cases, it will facilitate the adoption of ultra low-power IoT sensors, low latency for improved XR and real-time location services (RTLS).
Adopting Industry 4.0 is not always related to huge investments or manufacturing greenfield: most of the times, it means identifying and applying the proper digital COTS available technologies, allowing for example to gather data which can then be used to inform decision-makers in real time. It is about taking small steps, studying the brownfield and the specific company needs, avoiding redesigning equipment or purchasing expensive apparatus. It is about evaluating value added, because production efficiency is the driver to tackle the competition.