Providing Cloud-based Rapid Elastic MAnufacturing based on the XaaS and Cloud model
CREMA aims at simplifying the establishment, management, adaptation, and monitoring of dynamic, cross-organisational manufacturing processes following Cloud manufacturing principles. CREMA will develop the means to model, configure, execute, and monitor manufacturing processes, providing end-to-end support for Cloud manufacturing by implementing real systems and testing and demonstrating them in real manufacturing environments.
CREMA will provide fundamental data access and service functionalities to describe, provide, discover, and store data and services from various, heterogeneous sources, including CPS, sensor, wireless sensors networks, smart objects and other Internet of Things technologies.Read more
CREMA will deliver the functionalities needed to design and execute real-world manufacturing processes of different factories including the design and runtime optimisation functionalities. For this, it provides process managers with the means to model manufacturing processes.Read more
CREMA will also provide frontend and user-oriented functionalities. This includes the means for monetization of real-world manufacturing assets and services, mechanisms for the monitoring and KPI-based alerting functionalities, finally provision for knowledge sharing & data analytics.Read more
CREMA ‘Kicked off’ in January 2015 and the project partners are keen to share with you the exciting achievements for you to peruse and utilise.
Within CREMA, our main achievements will be published as reports. Those so called deliverables will describe the vision, the architecture and many other aspects of CREMA.Read more
CREMA involves many research partners and will create scientific results, which will be published at conferences, journals or books. First publications are expected to be available at the endRead more
CREMA will be validated based on two use cases. The first one will be within the machinery maintenance and the second one in the automotive domain.Read more