Towards Evidence-Based Decision Making in Asset Management

Helena Kortelainen (Corresponding author), Antti Rantala, Toni Ahonen, Jesse Tervo

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


Evidence-based asset management aims at making right decisions and optimizing asset management processes with best available information. Asset information systems are widely applied in industrial companies to collect and store asset related data. However, competence and experience of people, - i.e. tacit knowledge - has a crucial role in the decision-making. In this paper, we discuss information transfer, usability of current IT-systems and data utilization in daily tasks of different user groups. In addition, we outline a solution that supports the way towards evidence-based approach in process industry.
Original languageEnglish
Title of host publication15th WCEAM Proceedings
EditorsJoão Onofre Pinto, Marcio Luiz Kimpara, Renata Rezende Reis, Turuna Seecharan, Belle R. Upadhyaya, Joe Amadi-Echendu
Number of pages12
ISBN (Electronic)978-3-030-96794-9
ISBN (Print)978-3-030-96793-2
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
Event15th World Congress on Engineering Asset Management, WCEAM 2021: Online - Virtual, Bonito, Mato Grosso do Sul, Brazil
Duration: 15 Aug 202118 Aug 2021

Publication series

SeriesLecture Notes in Mechanical Engineering


Conference15th World Congress on Engineering Asset Management, WCEAM 2021
CityBonito, Mato Grosso do Sul


  • Evidence-based asset management
  • maintenance
  • asset information systems
  • CMMS
  • tacit knowledge
  • data collection and retrieving
  • Asset information systems
  • Maintenance
  • Data collection and retrieving
  • Tacit knowledge


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