The EFPF approach to manufacturing applications across Edge-Cloud
R.C. Sofia, C. Coutinho, G. Scivoletto, G. Insolvibile, R.A. Deshmukh, A. Schneider, V. Damjanovic-Behrendt, F. Gigante, U. Wajid, A. Nizamis, D. Ioannidis, T. Mastos (2023): The EFPF approach to manufacturing applications across Edge-Cloud In: Sofia, R.C., & Soldatos, J. (Eds.). Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications (1st ed.). River Publishers. https://doi.org/10.1201/9781032632407
Abstract
Manufacturing as a Service (MaaS) refers to a set of tools and processes that can assist the shared use of networked production facilities. In the core of this paradigm is a vision where manufacturing environments shall profit from an online set of tools and services that can be tailored to the requirements coming from the different manufacturers, thus reaching a higher degree of flexibility, and an increase in production efficiency.
In the context of MaaS, the Horizon 2020 European Connected Factory Platform for Agile Manufacturing (EFPF) provides an operational instantiation of a large-scale MaaS across Europe, integrating a diverse set of services such as data analytics, factory connectors, and an interoperable Data Spine to proportionate a high level of automation across different shop-floors.
This chapter explains the EFPF MaaS concept, going over its architectural design, and giving insight into how developers and SMEs can profit from the EFPF open-source SDK to generate new products, and how these products can be integrated into the EFPF broad marketplace. This book chapter gives insight into several pilots developed during the project, while presenting core challenges and developed solutions.
