The REDUCE project aims to reduce CO2 emissions and costs in product design and production and to increase the economic competitiveness of Austrian manufacturers by providing a Decision Support Tool (DST) based on hybrid prediction models for energy and material consumption (and related costs) to empower product designers and production planners. To this end, REDUCE is pursuing the following innovations:
- Develop a new user-centred Decision Support Tool (DST) to empower product designers and production planners to make informed decisions based on energy and material consumption predictions.
- Create hybrid models for energy and material consumption prediction through the synergistic interweaving explainable AI-driven modelling (AIDM) with knowledge-driven modelling (KDM), based on accurate and precise data
- Provide explainability of data and models through explorative and confirmative visualization techniques incorporated into the DST.
- Generate more accurate and precise data by AI-based disaggregation into product and production machine contributions regarding energy and material consumption to make machine-independent statements about product-specific design attributes.
- Assess the ecological and economic sustainability of product design solutions using improved data and models and taking cost efficiency into consideration.