Long-Term History Data and Integrated Expert Knowledge in Asset Lifecycle Management

Modern asset lifecycle management needs to deal with a combination of strategic level information for defining right allocations, timings and resources for investments, tactical level information for allocating maintenance tasks based on their criticality, maintenance windows and e.g. production schemes as well as operational level information for effective implementation of daily maintenance. There is a need for a process that better uses lifecycle data as an integral part of lifecycle decision-making and thus for maintenance and investment planning. In current paper, we focus on the aspects of strategic and tactical asset management where development targets are identified for maintenance actions and investments. Based on previous research and an interview study the paper proposes a process for maintenance and investment planning which utilizes a combination of expert knowledge and maintenance and process event data.