Date(s) - 24/06/2019
08:00 - 11:00
The SIRIUS Centre at the University of Oslo and Energy Valley have the pleasure to invite you to a breakfast seminar on the digitalization of engineering and heavy industry. Our guest lecturer, Professor Melinda Hodkiewicz from the University of Western Australia will be giving two presentations.
Time: 08:30-11:00, Monday 24th June 2019
Place: Smalltalk Lecture Theatre, Department of Informatics, University of Oslo, Gaustadalléen 23B, Oslo.
Please register here by Thursday 20th June.
Transforming Maintenance through Data Science
Effective maintenance of engineering assets underpins the NOK 1,238 billion/year of export earnings from Australia’s resources sector. Significant corporate strategic focus and government funding is being directed at Industrie 4.0 projects but there is a massive disconnect between the 4.0 vision and today’s business practices. Historical practice for maintenance data collection, processing and use is not a solid foundation for the future. Maintenance management practices have also changed little in the last 20 years and are ripe for a digital overhaul that will bring developments in computational methods, statistics, applied mathematics and artificial intelligence to determine how, when and why maintenance is conducted. Collaboration with industry is key to this transformation. This talk describes how this challenge is being tackled by a new industry and government $8.8M co-funded Australian research group. Our goals are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.
Data Risk Assessment Tool for industry-academic collaborations
For research in the fields of engineering asset management and system health, relevant data resides in the corporate systems of asset owners, typically corporations or government bodies. The process for obtaining a required dataset from these asset owners can be challenging. When data is provided to the researcher, unilateral restrictions on subsequent publication of results and/or data are often imposed, irrespective of risk. To facilitate a more consistent approach towards releasing data, the authors have developed a Data Risk Assessment Tool (DRAT) for evaluating the risk posed by providing datasets to academic entities for research purposes. This presentation describes the issues considered when developing the tool, describes the DRAT process and suggests exemplar management controls that data owners and researchers can implement based on each level of aggregated risk. The process has been reviewed and approved for use by research legal advisors of two global organisations, tested by an industry collaborator and post-hoc tested on industry-funded research projects.
Professor Melinda Hodkiewicz is an engineering academic working on multi-disciplinary projects to improve maintenance, asset management and safety practices. She has a 5 year A$1.3M Fellowship at the University of Western Australia funded by BHP, a major resources company and is a Visiting Fellow at the Alan Turing Institute in the UK. She is actively involved in the development of ontology and natural language processing of maintenance and safety unstructured records which in turn assists the maintainer of the future. She is on the leadership team for the new ARC funded $8.8M Centre for Transforming Maintenance through Data Science, co-leads the data science program for the $10M ARC Offshore Structures Hub, and established the UWA System Health Lab. She has a number of external roles including Board member of Australia’s National Offshore Petroleum Safety and Environmental Management Authority (NOPSEMA) and Advisory Board member for the Australian Government’s METS Ignited. She was the Australian representative on the original ISO 55001 Asset Management committee. In 2016 she was awarded the MESA Medal for services to the AM community.
For more information, please contact Dr. David B. Cameron pr. email email@example.com