Decision making situations define data requirements in fleet asset management

Sini-Kaisu Kinnunen (Corresponding author), Salla Marttonen-Arola, Antti Ylä-Kujala, Timo Kärri, Toni Ahonen, Pasi Valkokari, David Baglee

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

    13 Citations (Scopus)


    Large amounts of data are increasingly gathered in order to support decision making processes in asset management. The challenge is how best to utilise the large amounts of fragmented and unorganised data sets to benefit decision making, also at fleet level. It is therefore important to be able to utilize and combine all the relevant data, both technical and economic, to create new business knowledge to support effective decision making especially within diverse situations. It is also important to acknowledge that different types of data are required in different decision making context. A review of the literature has shown that decision making situations are usually categorized according to the decision making levels, namely strategic, tactical and operational. In addition, they can be classified according to the amount of time used in decision making. For example, two situations can be compared: (1) optimization decision where a large amount of time and consideration is used to determine an optimum solution, and (2) decisions that need to be made instantly. Fleet management of industrial assets suffers from a lack of asset management strategies in order to ensure the correct data is collected, analysed and used to inform critical business decisions with regard to fleet management. In this paper we categorize the decision making process within certain situation and propose a new framework to identify fleet decision making situations.
    Original languageEnglish
    Title of host publicationProceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)
    EditorsKari T. Koskinen, Helena Kortelainen, Jussi Aaltonen, Teuvo Uusitalo, Kari Komonen, Joseph Mathew, Jouko Laitinen
    ISBN (Electronic)978-3-319-27064-7
    ISBN (Print)978-3-319-27062-3, 978-3-319-80065-3
    Publication statusPublished - 1 Jan 2016
    MoE publication typeA4 Article in a conference publication
    Event10th World Congress on Engineering Asset Management, WCEAM 2015 - Tampere Hall, Tampere, Finland
    Duration: 28 Sept 201530 Sept 2015

    Publication series

    SeriesLecture Notes in Mechanical Engineering


    Conference10th World Congress on Engineering Asset Management, WCEAM 2015
    Abbreviated titleWCEAM 2015


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