The vision of this proposal is to enable SME-affordable (inexpensive, less interaction with domain experts and easy to deploy) process quality monitoring services, which consider product quality in the context of environmental friendliness and energy consumption, assuring so called eco-aware process quality, one of the key concept for realizing sustainable manufacturing.
Main goal is to develop, deploy and validate an AI-based software-hardware system for enabling a comprehensive monitoring, analysis and improvement of the eco-aware process quality in the manufacturing end user SME, with a very clear exploitation intension to offer that kind of the products/services for Europa-wide manufacturing SMEs.
The focus will be on two main factors/waste of environmental footprint: Energy and Emission, measured in a non-intrusive way (without a direct intervention with machines), using external sensors (energy, air quality). This heterogenous data will be processed using advanced AI methods to develop comprehensive models of the process behaviour regarding eco-aware process quality.
Outcome is an innovative KITT4SME-enabled (integrating KITT4SME AI for Quality Systems solution) system for monitoring and assuring eco-aware process quality in manufacturing SMEs, integrated in KITT4SME Platform and offered through RAMP Marketplace.