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

Toni Ahonen (Corresponding author), Antti Rantala, Helena Kortelainen, Pasi Valkokari

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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.

Original languageEnglish
Title of host publicationInnovations in Industrial Engineering
EditorsJosé Machado, Filomena Soares, Justyna Trojanowska, Vitalii Ivanov
PublisherSpringer
Pages1-11
Number of pages11
ISBN (Electronic)978-3-030-78170-5
ISBN (Print)978-3-030-78169-9
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
Event1st International Conference on Innovation in Engineering, ICIE 2021 - Guimarães, Portugal
Duration: 28 Jun 202130 Jun 2021

Publication series

SeriesLecture Notes in Mechanical Engineering
ISSN2195-4356

Conference

Conference1st International Conference on Innovation in Engineering, ICIE 2021
Country/TerritoryPortugal
CityGuimarães
Period28/06/2130/06/21

Keywords

  • Data
  • Digitalization
  • Lifecycle
  • Maintenance

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