Design, manufacture, and manage the digital core of your product

Digitalised product lifecycle

What if you could digitally simulate and optimise every stage of the product lifecycle, from design to end-of-life?

Operational intelligence

Why digitalise the product lifecycle?

A digitalised product lifecycle enables digital supervision of every stage in a product’s lifecycle. This approach not only conserves time and reduces costs, but also enhances product quality and enables more effective monitoring and analysis of the product development.

The value lies in the ability to optimise processes and produce more reliable machines and products. By digitally managing the entire lifecycle, potential issues can be identified and addressed earlier, mitigating risks and preventing costly errors. The efficiency enables faster time-to-market with better quality assurance.

Digital core of a product or machine

Business Design – Digital concept

Finding the right strategy for your business and product design is a fundamental first step.

It’s essential to execute the change successfully across the entire value chain to achieve success.

From prototype to production

Reduce time-to-market and minimise research and development expenses using the best digital product design platforms and methods. In the production phase, good configuration management will save a lot of money , which is also a crucial aspect of developing a digital twin.

By using digital configurations, the product can be manufactured with better efficiency and ensure high quality control throughout the process.

Operation – Digital twin

Finally digital twins connect the product structure and data related to the usage.

This enables next-level data analytics, which can be utilised both in maintenance, and in the further development of more sustainable products. A digital twin enables the building of new types of business models such as servitisation.

Model-Based Design – Why and How?

This is a practical guide to model-based design for engineers working with machines and devices, control systems, and automation.

After reading this guide you will have an understanding of the model-based design process and the steps included.You will also be able to evaluate the possible benefits you get from switching to model-based design in your own work.

We use a made-up machine example to provide a hands-on walkthrough of the steps involved.

Download the free guide

Our lenses for success

Human Centricity

Products are designed and used by people.

The benefits of your renewal effort are capitalised only when people in various roles adopt the new mindset. The increasing complexity of modern intelligent machines requires new ways of working and thinking. This concerns not only people in management, R&D, and production, but also the end-customers.

Business-wise

Understand the entire lifecycle of your machine from the 1st idea to its life as part of your customers’ business.

The transformation from traditional product development to digitalised machine lifecycle needs to be planned and led carefully to minimise business risks and to maximise the positive impact of faster development cycles and reduced time to market costs – and ultimately on future business performance.

Ethically balanced

Ensure ethical and environmentally responsible decision-making throughout the entire lifecycle of your machine.

Recognise the diverse needs of machine users and the impacts on our environment, and take appropriate actions beforehand than too late.

Tech-savvy

Technologies and systems act as enablers in your renewal.

Replacing the separate R&D and combining work in a form of a digital twin disrupts the way of designing, maintaining and recycling machines. With the help of model-based design and testing, it is possible to connect product management and engineering disciplines for achieving best results.