- Thanks to the achievements resulting from the Reflexion project, Axini aims to realise an additional € 2.5 m of revenue between 2020-2025 and company growth of 20%.
- Bridging the existing tabular data with log, text and image data allowed SynerScope to bring the first-timeright percentage up from 90% to 99.5%, saving an effective 40 FTE. Structured log analysis and analytics on interaction logs are now part of its user experience monitoring, reducing the time from initial problem to pinpointed bottleneck at least by half. In addition, the structured log analysis has opened up exploitation in new verticals Energy and Oil & Gas, which represents a multimillion-euro market opportunity.
- During Reflexion, Canon Production Printing developed an incredible maturity on the full digital loop and a set of products and methodologies that can be useful for many other European players. Thanks to this new approach, Canon Production Printing has improved its mean time to repair (MTTR) for all new machines by 50%.
- By its participation in Reflexion, Yazzoom expects that the results of the Reflexion project will lead to an additional revenue of €2.5 m in the five years after the project.
- For Barco and TNO, new business models (e.g. the NEXXIS Care Plan) were introduced, the value of which at the end of the project in 2019 was estimated at 20 million e uros in the next 5 years.
- Apart from the incredible industrial impact, already during the project 25 data science jobs were created among the project partners. This workforce is continuing to work on the Reflexion agenda and address several Smart industry challenges such as effective use of scarce human expert capital by exploiting data to assist the realisation of better operational solutions and designed systems.
The next step forward for the high-tech systems manufacturing domain is to integrate operational data into a product's development lifecycle. While there is an understanding that data can lead to improved processes, less is understood about the necessary roadmaps to get there. The challenge taken up by the ITEA project Reflexion, comprising eight partners from Belgium and the Netherlands, was to support the paradigm shift emerging in high-tech industry from selling 'boxes' to supporting 'integrated solutions', by providing significant improvements in quality and stability during early product rollout. The objectives were defined as follows: to react to unforeseen problems or emerging needs in a fast, cost-effective way by augmenting products with an introspective layer of data sensing and data analytics, thereby creating value out of the high-tech system’s operational data which is still characterised by legacy choices based on infrastructural and analytical approaches. Then propagate this knowledge (automatically) back into the product development lifecycle and the service and maintenance flow.
Reflexion's success does not lie in a product – a nonexistent 'silver bullet' to be applied in all circumstances – but in integrating pre-existing frameworks to improve the consortium partners' processes. There are a wide number of open-source frameworks that specialise in data science, backed by huge communities. Through Reflexion, high-tech systems companies were exposed to these frameworks, helping them to understand what exists and how it can be used to improve their own data management. The addtional introspective layer of data sensing and analytics allowed partners to valorise their operational data and to use the newfound knowledge to improve the development cycle, services and maintenance. Reflexion supported them to create a so-called 'digital loop'.
The application of data science in manufacturing was new back in 2015 when data use predominantly targeted the control engineering of mechatronic systems. Reflexion introduced another perspective of data exploitation providing a new added value. As a result, the market penetration for the participating tool and service providers grew by 10% in terms of both improved product offering and extended services.
The Dutch SME Axini has further developed and improved
its platform for scriptless test automation. The unique
property of the Axini approach is that AI and formal method
algorithms automate the entire test process. Axini has
productised the project’s prototypes into its platform and
has proven that the new approach is 50% faster and more
effective than all other alternatives in the market.
In general, the Dutch SME SynerScope saw a 30% reduction
in time spent troubleshooting performance issues at the
customer site by using structured log analysis and analytics
on interaction logs.
The Belgian SME Yazzoom has further developed and improved the algorithms in its Yanomaly software for anomaly detection and predictive analytics on machine data. In particular, algorithms were created and validated for semi-automatic parsing and anomaly detection in log files.
Additionally, for the OEMs the impact of Reflexion on
the growth in turnover and / or market penetration for
selected applications was projected at 20%.
Canon Production Printing did agile development with its
launching customers for its new inkjet printer. 4GB of daily
data from the printer was exploited with the development
of an Optimal Diagnosis Analysis System (ODAS). Beyond
automatic analysis, they managed to support quick
knowledge sharing between the company’s different
specialists to reach a common understanding of the
situation and decide together on what to enhance.
By exploiting data more efficiently, Philips and Barco can now create medical equipment with a higher uptime, allowing to diagnose or operate on more patients per day. In addition, thanks to Reflexion, Philips partnered up with Yazzoom for further research resulting in the development of a platform for both further research and new services. Siemens Industry Software has made its first steps into machine learning. It resulted in the development of the new Simcenter Studio tool released in 2021 as a completely new solution in the Simcenter portfolio.
Reflexion turned out to be genuine successful collaboration.