Deviation occurs in all steps of a product lifecycle; e.g., production, transport and operations. Today, many manufacturers have access to an enormous amount of data from the whole lifecycle, which is under-utilised. Despite proven digital and AI (artificial intelligence) techniques, and lifecycle engineering (LCE) methods, the application of these in combination in industrial practice is scarce. Continuously reducing deviations both reactively and proactively with a lifecycle perspective will have a significant economic and environmental gain.
Linköping University and professor Tomohiko Sakao is the consortium leader and LiU is provide leading expertise on LCE. Mälardalen University and professor Peter Funk leader of the MDU team providing leading expertise on AI, ML, big data and innovation.
The project will develop a method and two demonstrators as “proof of concept” showin the process and value of lifecycle digitalization, by applying AI techniques to data for reducing deviations. Two value chains will be addressed; gas turbines and production machines. The data related to deviation collected from the full lifecycle will be used to derive insights for continuous improvements including design of next-generation products.
The major expected impacts for industry will be improved cost efficiency as well as capacity and competitiveness concerning the next level of digitalization with strategic use of AI. Environmental performance including resource efficiency will also be increased. The Swedish National Road and Transport Research Institute is providing leading expertise in transport, mobility and logistic related issues. Two large firms will provide cases that together cover a wide range of value chains for production: Siemens Energy and Volvo Construction Equipment. In addition, a number of companies are providing leading edge expertis to the demonstrators including Addiva and Imagimob.
|Sohlberg Dr H.C.
|Senior Project Manager
Combining Ontology and Large Language Models to Identify Recurring Machine Failures in Free-Text Fields (Apr 2024) Marcus Bengtsson, Mobyen Uddin Ahmed, Ricky Stanley D Cruze , Peter Funk, Tomohiko Sakao , Rickard Sohlberg Dr H.C. THE 11th SWEDISH PRODUCTION SYMPOSIUM (SPS24)
A Case Study on Ontology Development for AI Based Decision Systems in Industry (Jul 2023) Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Marcus Bengtsson, Peter Funk, Rickard Sohlberg Dr H.C., Atiq Ur Rehman 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)
Artificial Intelligence-based Life Cycle Engineering in Industrial Production: A Systematic Literature Review (Jan 2023) Hamidur Rahman, Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Rickard Sohlberg Dr H.C., Tomohiko Sakao , Peter Funk Journal of IEEE ACCESS (IEEE ACCESS)
AI-LCE: Adaptive and Intelligent Life Cycle Engineering by applying digitalization and AI methods – An emerging paradigm shift in Life Cycle Engineering (May 2021) Tomohiko Sakao , Peter Funk, Johannes Matschewsky , Marcus Bengtsson, Mobyen Uddin Ahmed 28th CIRP Conference on Life Cycle Engineering (CIRP LCE 2021)
|The Swedish National Road and Transport Research Institute
|Siemens Energy AB
|Volvo Construction Equipment AB