Decision making situations define data requirements in fleet asset management

Sini-Kaisu Kinnunen; Salla Marttonen-Arola; Antti Ylä-Kujala; Timo Kärri; Toni Ahonen; Pasi Valkokari; David Baglee

doi:10.1007/978-3-319-27064-7_33

Decision making situations define data requirements in fleet asset management

Sini-Kaisu Kinnunen^*, Salla Marttonen-Arola, Antti Ylä-Kujala, Timo Kärri, Toni Ahonen, Pasi Valkokari, David Baglee

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

13 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)
Editors	Kari T. Koskinen, Helena Kortelainen, Jussi Aaltonen, Teuvo Uusitalo, Kari Komonen, Joseph Mathew, Jouko Laitinen
Publisher	Springer
Pages	357-364
ISBN (Electronic)	978-3-319-27064-7
ISBN (Print)	978-3-319-27062-3, 978-3-319-80065-3
DOIs	https://doi.org/10.1007/978-3-319-27064-7_33
Publication status	Published - 1 Jan 2016
MoE publication type	A4 Article in a conference publication
Event	10th World Congress on Engineering Asset Management, WCEAM 2015 - Tampere Hall, Tampere, Finland Duration: 28 Sept 2015 → 30 Sept 2015

Publication series

Series	Lecture Notes in Mechanical Engineering
ISSN	2195-4356

Conference

Conference	10th World Congress on Engineering Asset Management, WCEAM 2015
Abbreviated title	WCEAM 2015
Country/Territory	Finland
City	Tampere
Period	28/09/15 → 30/09/15

Funding

The authors gratefully acknowledge the Finnish Metals and Engineering Competence Cluster (FIMECC) for organizing Service Solutions for Fleet Management program (S4Fleet), the Finnish Funding Agency for Technology and Innovation for funding the program and the companies involved in the research.

Access to Document

10.1007/978-3-319-27064-7_33

Cite this

Kinnunen, S.-K., Marttonen-Arola, S., Ylä-Kujala, A., Kärri, T., Ahonen, T., Valkokari, P., & Baglee, D. (2016). Decision making situations define data requirements in fleet asset management. In K. T. Koskinen, H. Kortelainen, J. Aaltonen, T. Uusitalo, K. Komonen, J. Mathew, & J. Laitinen (Eds.), Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015) (pp. 357-364). Springer. https://doi.org/10.1007/978-3-319-27064-7_33

Kinnunen, Sini-Kaisu ; Marttonen-Arola, Salla ; Ylä-Kujala, Antti et al. / Decision making situations define data requirements in fleet asset management. Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). editor / Kari T. Koskinen ; Helena Kortelainen ; Jussi Aaltonen ; Teuvo Uusitalo ; Kari Komonen ; Joseph Mathew ; Jouko Laitinen. Springer, 2016. pp. 357-364 (Lecture Notes in Mechanical Engineering).

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abstract = "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.",

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Kinnunen, S-K, Marttonen-Arola, S, Ylä-Kujala, A, Kärri, T, Ahonen, T, Valkokari, P & Baglee, D 2016, Decision making situations define data requirements in fleet asset management. in KT Koskinen, H Kortelainen, J Aaltonen, T Uusitalo, K Komonen, J Mathew & J Laitinen (eds), Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Springer, Lecture Notes in Mechanical Engineering, pp. 357-364, 10th World Congress on Engineering Asset Management, WCEAM 2015, Tampere, Finland, 28/09/15. https://doi.org/10.1007/978-3-319-27064-7_33

Decision making situations define data requirements in fleet asset management. / Kinnunen, Sini-Kaisu; Marttonen-Arola, Salla; Ylä-Kujala, Antti et al.
Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). ed. / Kari T. Koskinen; Helena Kortelainen; Jussi Aaltonen; Teuvo Uusitalo; Kari Komonen; Joseph Mathew; Jouko Laitinen. Springer, 2016. p. 357-364 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Ylä-Kujala, Antti

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AU - Valkokari, Pasi

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Kinnunen SK, Marttonen-Arola S, Ylä-Kujala A, Kärri T, Ahonen T, Valkokari P et al. Decision making situations define data requirements in fleet asset management. In Koskinen KT, Kortelainen H, Aaltonen J, Uusitalo T, Komonen K, Mathew J, Laitinen J, editors, Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Springer. 2016. p. 357-364. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-319-27064-7_33

Decision making situations define data requirements in fleet asset management

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