Overview of Pilot Activities in the EFPF Project - I
Updated: Jan 5, 2021
The EFPF project is approaching the end of its 2nd year. Where the first 12 months of the project focused on establishing the core platform, this ongoing 12months period focuses on pilot activities i.e. the design, development and implementation of innovative applications that make use of EFPF platform and services to address specific needs of EFPF pilot partners. To recap on EFPF pilots, they focus on lot-size-one manufacturing and on establishing fast, sustainable value networks in aerospace, furniture manufacturing and waste management sectors.
Based on pilot requirements gathered early in the project (described in D2.3 - Requirements of Embedded Pilot Scenarios, accessible on the project website), a number of innovative solutions are designed to be offered through the EFPF platform. The overview of some of these solutions is provided below to illustrate the different types of solutions that can be developed, supported and offered through the EFPF platform:
1. Predictive Maintenance: Predictive maintenance allows the early detection and timely action on machine faults to be corrected before
they become a bigger problem. The EFPF predictive maintenance pilot focuses on monitoring machine KPIs in order to provide near real-time predictions of machine breakdowns. The solution allows the manufacturing companies to increase production efficiencies. The implementation of the solution is illustrated here.
2. Supply Chain Workflows and Service Automation: Traceability and transparency are needed in the design and management of supply chain processes. In SME ecosystems, the ability to model and monitor distributed actibities is not generally
available to many SMEs that engage in collaborative processes. The WASP solution in the EFPF platform allows the design, execution and monitoring of distributed workflows or processes that interlink multiple activities in a transparent way. The modular nature of WASP brings together open-source and custom components in the SOA approach. The EFPF federation infrastructure allows the interaction of WASP with a variety of tools, systems and also users. The integration of WASP in the EFPF platform is illustrated here.
3. Bin Fill Level Monitoring: Many manufacturing companies face the problems related to the real-time monitoring of waste and management of scrap material. The Bin Fill Level Monitoring solution developed in the EFPF project allows manufacturing companies to save time, effort and efficiently manage the waste materials. The solution makes use of sensors and EFPF services; and is available through the EFPF Portal. The implementation of this solution is illustrated below:
4. Business and Network Intelligence: Manufacturing companies generate a lot of data. Most of this data is often not analysed (e.g. inteactions of companies within digital
platforms or their business networks) to provide the necessary intelligence about their ongoing activities. The B&NI service in the EFPF platform provides actionable insight to companies based on the analysis of the data that is generated when companies interact with each other or with the EFPF platform services through the Data Spine. The implementation of this solution is illustrated here.
5. Efficient Resource Management: Health and Safety is a vital topic in manufacturing, and prevention of safety issues are a continuous concern of companies. An Automatic
Resource Monitoring solution is being developed in the EFPF project to address safety related requirements of manufacturing companies. This solution uses EFPF factory connectivity solution and AI-based visual analytic techniques to ensure that PPE is used in specific areas of the factory where health and safety is a particular concern. The implementation of this solution is illustrated here.
We believe the above overview will provide stimulus and ideas to other solution provides and open-call experimenters about the types of solutions needed in the manufacturing domain and also the types of solutions that can be developed and supported within the EFPF platform. Stay tuned to the EFPF website if you are interested in learning more about the EFPF pilot and other activities.