@inproceedings{62dca98f800740239a130f4b3fdf9b6a,
title = "Long-Term History Data and Integrated Expert Knowledge in Asset Lifecycle Management",
abstract = "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.",
keywords = "Data, Digitalization, Lifecycle, Maintenance",
author = "Toni Ahonen and Antti Rantala and Helena Kortelainen and Pasi Valkokari",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Innovation in Engineering, ICIE 2021 ; Conference date: 28-06-2021 Through 30-06-2021",
year = "2022",
doi = "10.1007/978-3-030-78170-5_1",
language = "English",
isbn = "978-3-030-78169-9",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer",
pages = "1--11",
editor = "Jos{\'e} Machado and Filomena Soares and Justyna Trojanowska and Vitalii Ivanov",
booktitle = "Innovations in Industrial Engineering",
address = "Germany",
}