A digital twin to support sustainable and available production as a service
| Reference number | |
| Coordinator | Örebro universitet - Maskinteknik, Institutionen för naturvetenskap och teknik |
| Funding from Vinnova | SEK 4 038 972 |
| Project duration | March 2019 - June 2022 |
| Status | Completed |
| Venture | The strategic innovation programme for Production2030 |
| Call | Strategic Innovation Programme Produktion2030, call 11 for proposals within research and innovation. |
Important results from the project
The project´s objective was to develop a digital twin model (software platform) for improved predictive maintenance decision support in the aim of supporting service-based business models. Main focus areas; (i) modeling and simulation of availability and maintenance in production processes, (ii) data collection, analysis and (iii) representation of warnings and errors in production processes. The project´s objective has been fulfilled especially by strengthening the interests and ability of participating industry to sell availability-based solutions.
Expected long term effects
Several articles have been published and several are submitted for publication regarding the simulation of availability and maintenance in production processes. Regarding data collection and analysis, the project´s corporate partners have, as a consequence of the project, developed predictive maintenance decision support and their respective products. Work on the interweaving of numerical and logical approaches for warnings and errors in production processes is ongoing
Approach and implementation
The project has been implemented in a number of work packages and with recurring project meetings between project partners. Project plans and implementation were generally well planned and some challenges arose due to Covid-19 which were surprisingly well managed.