Abstract
The transition towards smart manufacturing, aided by the concepts of Industry 4.0 and Industry 5.0, is enabling manufacturers to gather extensive amounts of data from machinery, systems, and operations. Access to manufacturing data can improve information flow and data sharing, enabling the possibility of reducing costs, saving material, and improving process and quality of production, while leading to fewer wastes and emissions. Typically, manufacturing information is spread across multiple enterprise information technology systems, and structured based on traditional product development paradigms (e.g., product design, process planning, manufacturing execution, quality control, etc.). However, realizing sustainable manufacturing requires integrating this information into a unified frame allowing for quantifying and subsequently mitigating the environmental impacts of production systems. Furthermore, the growing focus on standards-based reporting of product environmental footprints, e.g., through the European Union’s Digital Product Passport (DPP) regulation, necessitates that manufacturers and their value chains share verifiable information on environmental impacts. Given that the structure and use cases for DPPs are still evolving, there is a need for manufacturing value chains to investigate, what manufacturing information needs to be collected, how to conduct information collection in complex manufacturing systems, what the needed level of granularity, and how to ensure the needed level of accuracy and verifiability. To support these goals, our work proposes a conceptual model for information collection and sharing in sustainable manufacturing titled Digital Process Passport. The goal of a Digital Process Passport is to enable systematic estimation, monitoring, sharing, and mitigating manufacturing-related environmental impacts, by providing a common template for representing circularity- and sustainability-focused information of production systems.
Published Version
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