Project
EBI - Engineering Business Intelligence
The project Engineering Business Intelligence (EBI) is a follow up on the M4M project. Whereas in M4M the way to optimize profit and sustainability via Industry4.0 and via the involvement of employees by means of exploration and exploitation is explored, in EBI the reduction of faults is central.
Faults often mean unnecessary energy use which is detrimental for both sustainability and profit. EBI will create a new digital method to detect how sub-optimal process operation measured within the process data, affects sustainability, quality and economic value of the process to provide input in mitigation and consequently leverage economics with environmental performance. The disruptive, descriptive and predictive capabilities of such new technology may be implemented as a novel information source with a specific role for the workforce. This not only requires a technological transition, but also a transition throughout the organization in which the workforce throughout the organization internalizes the digital technologies in order to identify process failures. These new technical possibilities, fully internalized by the workforce, may considerably reduce the environmental impact of the process industry whilst maintaining economic and operational excellence, using already existing data streams. Whereas the digitalization and sustainability performances are in the hands of Department of Analytical Chemistry & Chemometrics at Radboud University and the department of Environmental Sciences at Radboud University respetively, Education and Learning Sciences of Wageningen University is involved for the internalization of the new methods. The framework of meaningfulness of work will guide the interventions in the use cases which will take place in several big processing industries under the supervision of ISPT.