Delving into industrial process and operational data collected from several plant data sources is a valuable tool for industrial process optimisation in terms of resource utilisation, operational cost and environmental footprint. SYMBIOLABS provides data analytics and machine learning digital solutions to transform data into actionable intelligence and knowledge to support the optimisation of production operations.

Industrial Symbiosis is an innovative approach to establish industrial collaborative partnerships (networks), exchanging materials, waste, by-products and energy for economic, environmental and social benefit. Developing industrial symbiotic networks is a knowledge-intensive task, where information is necessary to discover the potential of establishing exchange flows between industries. SYMBIOLABS designs and develops tools for the collection, processing and geospatial analysis of data involved in industrial symbiotic networks to better facilitate Industrial Symbiosis.

SYMBIOLABS designs and implements tools to support the operation of supply chains that involve transportation of materials, waste and by-products, fleet management and routing.

Currently, waste management strategies focus attention on disposal practices. However, waste management is a far more complex problem. It goes beyond the traditional collect-transport-dispose model and involves, not only the adoption of waste valorisation technologies, but also the quantitative and qualitative characteristics of waste volumes and the specific characteristics of supply chains at a local level. SYMBIOLABS designs and develops tools to facilitate intelligent decision support for cost-effective waste and by-product valorisation.

In SYMBIOLABS, we collects and analyse industrial process data, producing data reports to quantify the environmental footprint of an industry. Such reports provide the necessary key performance indicators and aggregate data for an industry to drive the appropriate actions towards its environmental footprint improvement.