Maja Bärring was born in Gothenburg, Sweden in September 1988. She received an MSc degree in Mechanical Engineering from Lund University, Faculty of Engineering in 2014. During the engineering studies, she participated in an ERASMUS exchange program at the Technical University of Berlin (TUBerlin) study year 2011-2012. After graduation, she was enrolled as a Graduate Trainee at Siemens in both Sweden and the US during two years, gaining industrial experiences from manufacturing.
August 2016 she initiated her PhD studies at the Production Systems division, Industrial and Materials Science at Chalmers University of Technology. Her research topic is on how more data representing the production system enabled by digital technologies provide values to the production organization. The research focuses on how the data in itself and as decision support provide values. The research projects are focused on the use of digital technologies in the production environment, such as 5G connectivity in the workshop, 3D scanning for capturing the spatial data, Digital Twin technology for creating digital copies of production systems, platforms for enabling new business opportunities and market places, and blockchain to ensure secure data sharing in the supply chain case.
Six months of the PhD, autumn 2019, has been spent at the National Institute of Standards and Technology (NIST) in the US within the Systems Integration Division as a guest researcher. Focus during this exchange was a technical development of how to enable exchange of machine model data on a neutral standard format to support information reuse and interoperability between systems. Parallel with the research exchange, has she also been enrolled in national and international standardization bodies (ISO) as an expert from Sweden in topics related to manufacturing data. Current standard that has priority is within ISO is ISO 23247 “Digital Twin Framework for Manufacturing.”
