Enabling innovation in digital
At CPI, we utilise digital technology across multiple markets to bring added value to your innovations. There are a number of bottlenecks in process development that can be eliminated through digital technology, minimising experimental time and reducing overall development cost. Our high-throughput equipment can rapidly generate large datasets, which can be captured and processed using our integrated data acquisition systems. Our process modelling capabilities also allow us to help you draw conclusions and generate insights from your data. Increasing the speed of these steps enables knowledge capture and accessibility across platforms and can be used to leverage learning in R&D for process design, development and operation.
Digital design of products and processes
In combination with our high-throughput experimentation assets, we use advanced materials and process modelling techniques to accelerate your product and process development. By combining our expertise in both data-driven and mechanistic modelling approaches, we can help elucidate hidden relationships between process inputs. The digital assets we develop from experimental data help us to explore design spaces much faster, substantially shortening time-to-market and delivering product and process designs that improve the economics and flexibility of manufacturing processes and enhance product quality. Such digital assets also facilitate technology transfer and ensure the insight gained in product and process development can be leveraged to optimally operate manufacturing assets.
Optimal operation of manufacturing assets
We use advanced process control and optimisation to drive efficient processes, deliver tighter product quality and ensure safe operation. Data captured during process design can be used to develop models that can assist in troubleshooting operational issues. These models optimise operating conditions and increase productivity of manufacturing assets. Through our expertise in machine learning techniques, we are able to monitor any deterioration in performance, ensuring operation of your process is robust and stable.
Supply chain optimisation
We have a wealth of expertise in printed electronics, allowing us to develop flexible electronics that can track and trace materials and products across the entire supply chain. These smart tags or packaging solutions can be dotted with sensors, delivering information on the performance of products while they are in use and across the supply chain. By collecting data across a large number of assets, the learning is made available to inform product development and manufacturing operations. For example, smart packaging solutions can provide accurate demand forecasts that can optimise manufacturing schedules.
Enabling the Industrial Internet of Things
Our capabilities within printed electronics and the Internet of Things (IoT) mean we can produce sensors that can be integrated into new products and processes, ensuring efficient capture of large datasets. Collective learning, for example through the use of wearable devices in medtech, allows data to be collected and processed on a large scale, delivering valuable insights from a large number of people. This large-scale collection of data will be available for successive experiments and can be used to develop new products or improve existing ones. The impact of uncertainty is also an important consideration in data capture, ensuring that data is captured in the correct way and allowing you to create better process models.