The objective of this project (running as subgrant agreement of the H2020 MIND4MACHINES project) is to enhance logistics and supply chain management of maintenance service of production equipment/machine tools through AI-powered process mining techniques. Process mining is the deep-dive analysis, discovery, modeling and improvement of as-is processes, revealing the to-be efficiencies that the business can benefits from.

Benefits:

Reduction of maintenance service delivering time and cost, from the opening of a maintenance request up to the closing

Reduction of machines downtime

Leverage on AI to capitalize on digitalization and foster smart and sustainable manufacturing

SUPREME Process Mining solution includes:

Process Discovery:  maps and analyzes an organization’s existing business processes,  automatically generates a model, providing a data-based visual representation of process workflows

Conformance checking: compares a process model of the actual process with a reference process (best practice) to identify deviations such path, time and cost

Enhancement: improves the process through AI by predicting in advance potential bottlenecks.

Partners:

The SUPREME project has indirectly received funding from the European Union’s Horizon 2020 research and innovation action program, via the MIND4MACHINES Open Call #2 issued and executed under the MIND4MACHINES project (Grant Agreement no. 101005711).