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Operation and Maintenance Engineering

Operation and Maintenance Engineering deals with the development of methodologies, models and tools to ensure high system dependability and efficient and effective maintenance processes for both new and existing systems

The subject area of Operation and Maintenance Engineering is multidisciplinary in nature, transcending the boundaries and separating many disciplines of science, emerging technology and arts. The activities of the Division are aligned towards finding synergies with other engineering disciplines and building networks with many active research groups, locally and worldwide. The Division has been successful in obtaining grants from EU and Swedish Research funding agencies like VINNOVA and SSF. The Division has launched an International Journal of System Assurance Engineering and Management published by Springer. The establishment of SKF- University Technology Center for advanced condition monitoring has provided the Division with a much needed platform for the development of predictive technology. Besides, two eMaintenance Labs are functioning at LTU and LKAB, Kiruna; a Condition Monitoring Lab has been established at the Division. The Division is fully competent and equipped technologically to undertake research work in the emerging areas of big data, predictive and prescriptive analytics.

With the increasing awareness among the industry and academia that maintenance ensures safe and sustainable performance and creates additional value for the business process, the Division has been working collaboratively with industries, academic and research partners.

CMIS becomes CIAM – for the future of asset management in industry

The Centre for Maintenance and Industrial Services (CMIS) changes name to Centre of Intelligent Asset Management (CIAM). The new name covers a larger area and is a better reflection of the activities within the centre. CIAM is a platform where industry and academia can meet. This is where ideas are born for intelligent and sustainable asset management of the future.

Engineering applications of artificial intelligence, Vol. 119
Robotics and Computer-Integrated Manufacturing, Vol. 79
Reliability Engineering & System Safety, Vol. 230
Find more in the publications portal , opens in new tab/window