Developing Data Models for Smart Environmental Performance Management in Production

Paper i proceeding, 2023

For manufacturing companies to prosper in the long term, they must demonstrate contribution to sustainable development by implementing greener practices using approaches such eco-efficiency and circular economy; i.e., creating social and economic value while minimising the environmental impact of production through efficient, closed-loop circulation of resources. In addition, industrial digitalization presents new opportunities to unlock new ways to measure complex systems’ performance and systematically improve towards circular economy and sustainability. This paper presents the results of a feasibility study aiming to develop a practical toolkit to implement environmental sustainability concepts at factory level. To achieve the project objective, we focused on data handling practices for environmental performance management, including process mapping, data inventory, data quality assessment, and gap analysis to identify existing strengths and define areas of improvement to boost the environmental performance of production systems.