Digital Twin for Industry | Telefónica Tech

Industry

Digital Twin

Visualise, simulate, and optimise your industrial processes before making changes in the real world

We create virtual models of industrial processes to simulate scenarios, anticipate the impact of your decisions and optimise operations

Improving operational efficiency, reducing costs, and speeding up the deployment of new processes are priorities for many organisations. Unfortunately, not all of them have the tools to assess changes without affecting their actual production.

A Digital Twin virtually replicates the behaviour of a machine, a production line, a logistics flow or even an entire plant. Based on historical and real-time data, it enables organisations to compare scenarios, identify potential bottlenecks, and validate decisions before implementing them in the physical environment.

Telefónica Tech supports you every step of the way, from identifying the use case and defining objectives through to the construction, integration and evolution of the Digital Twin. We analyse your processes, systems, and data sources to create a model that is specifically tailored to your needs, capable of simulating scenarios and converting operational information into actionable recommendations.

This allows us to create a secure environment for experimentation, to anticipate the impact of changes and to continuously optimise production, logistics, maintenance and the design of products or facilities.

OUR VALUE PROPOSITION

Our service

A Digital Twin offers a modular and scalable approach that allows you to start with a specific asset, production line or process and gradually move towards broader models covering an entire plant or factory network. The solution integrates historical and real-time data from industrial systems to build virtual environments in which different scenarios can be analysed, simulated, and compared before being implemented in the real world.

What does it allow?

Virtually model machines, cells, production lines, facilities, and entire industrial processes.
Simulate different production scenarios to identify bottlenecks, anticipate incidents, and optimise asset capacity.
Simulate logistics flows in 2D and 3D environments to optimise routes, material movements, AGVs, robots, buffers, spaces and internal resources.
Compare alternative scenarios based on historical and real-time data, without disrupting production.
Virtually design and validate products, machines, processes or facilities before their manufacture or commissioning.
Continuously analyse asset performance to reduce downtime and support predictive and corrective maintenance strategies.
Create virtual training environments to train operators in a safe, controlled and measurable way.

BENEFITS FOR YOUR COMPANY

Reducing errors and downtime

We anticipate potential issues by simulating scenarios and virtually validating changes before implementing them in the production environment, thereby reducing risks and disruptions and speeding up the commissioning of lines, processes, and assets

Cost reduction and shorter time-to-market

We reduce the need for physical prototypes, on-site testing and subsequent modifications through the early validation of products, machinery, and processes, thereby accelerating their design, industrialisation, and launch

Greater operational efficiency

We optimise the use of machinery, materials, space, and resources by analysing processes, identifying bottlenecks and opportunities for improvement to boost productivity and OEE

Cross-functional collaboration

We create a common analytical environment that facilitates collaboration between the engineering, production, logistics, maintenance, quality, and business departments, aligning teams around a shared vision of the processes.

OUR DIFFERENTIAL VALUE

We support you throughout the entire Digital Twin lifecycle, from identifying the use case to the construction, integration, and evolution of the solution
We combine industry expertise with capabilities in connectivity, IoT, advanced analytics, artificial intelligence, and simulation to create virtual models connected to the reality of the operation
We design modular, scalable, and interoperable solutions that are integrated with the technological ecosystem and capable of evolving from a single use case to complete production lines, plants, or networks of factories
We focus each project on measurable results based on business indicators such as productivity, OEE, cycle times, downtime, prototyping costs, and time-to-market.