Towards Evidence-Based Decision Making in Asset Management

Helena Kortelainen; Antti Rantala; Toni Ahonen; Jesse Tervo

doi:10.1007/978-3-030-96794-9_28

Towards Evidence-Based Decision Making in Asset Management

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

BA5607 Data-driven sustainability

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

Abstract

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 language	English
Title of host publication	15th WCEAM Proceedings
Editors	João Onofre Pinto, Marcio Luiz Kimpara, Renata Rezende Reis, Turuna Seecharan, Belle R. Upadhyaya, Joe Amadi-Echendu
Publisher	Springer
Pages	312–323
Number of pages	12
ISBN (Electronic)	978-3-030-96794-9
ISBN (Print)	978-3-030-96793-2
DOIs	https://doi.org/10.1007/978-3-030-96794-9_28
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	15th World Congress on Engineering Asset Management, WCEAM 2021: Online - Virtual, Bonito, Mato Grosso do Sul, Brazil Duration: 15 Aug 2021 → 18 Aug 2021

Publication series

Series	Lecture Notes in Mechanical Engineering
ISSN	2195-4356

Conference

Conference	15th World Congress on Engineering Asset Management, WCEAM 2021
Country/Territory	Brazil
City	Bonito, Mato Grosso do Sul
Period	15/08/21 → 18/08/21

Keywords

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

Access to Document

10.1007/978-3-030-96794-9_28

Cite this

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title = "Towards Evidence-Based Decision Making in Asset Management",

abstract = "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.",

keywords = "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",

author = "Helena Kortelainen and Antti Rantala and Toni Ahonen and Jesse Tervo",

note = "Funding Information: The research group have received funding from Business Finland that is the Finnish government organization for innovation funding and trade, travel and investment promotion. VTT Technical Research Center of Finland and the companies participating in the SEED project have been co-funding the study. The authors wish to thank all these organisations for their support. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th World Congress on Engineering Asset Management, WCEAM 2021 : Online ; Conference date: 15-08-2021 Through 18-08-2021",

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doi = "10.1007/978-3-030-96794-9_28",

language = "English",

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series = "Lecture Notes in Mechanical Engineering",

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editor = "Pinto, {Jo{\~a}o Onofre} and Kimpara, {Marcio Luiz} and Reis, {Renata Rezende} and Turuna Seecharan and Upadhyaya, {Belle R.} and Joe Amadi-Echendu",

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Kortelainen, H, Rantala, A, Ahonen, T & Tervo, J 2022, Towards Evidence-Based Decision Making in Asset Management. in JO Pinto, ML Kimpara, RR Reis, T Seecharan, BR Upadhyaya & J Amadi-Echendu (eds), 15th WCEAM Proceedings. Springer, Lecture Notes in Mechanical Engineering, pp. 312–323, 15th World Congress on Engineering Asset Management, WCEAM 2021, Bonito, Mato Grosso do Sul, Brazil, 15/08/21. https://doi.org/10.1007/978-3-030-96794-9_28

Towards Evidence-Based Decision Making in Asset Management. / Kortelainen, Helena (Corresponding author); Rantala, Antti; Ahonen, Toni et al.
15th WCEAM Proceedings. ed. / João Onofre Pinto; Marcio Luiz Kimpara; Renata Rezende Reis; Turuna Seecharan; Belle R. Upadhyaya; Joe Amadi-Echendu. Springer, 2022. p. 312–323 (Lecture Notes in Mechanical Engineering).

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

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T1 - Towards Evidence-Based Decision Making in Asset Management

AU - Kortelainen, Helena

AU - Rantala, Antti

AU - Ahonen, Toni

AU - Tervo, Jesse

N1 - Funding Information: The research group have received funding from Business Finland that is the Finnish government organization for innovation funding and trade, travel and investment promotion. VTT Technical Research Center of Finland and the companies participating in the SEED project have been co-funding the study. The authors wish to thank all these organisations for their support. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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KW - tacit knowledge

KW - data collection and retrieving

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KW - Data collection and retrieving

KW - Tacit knowledge

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T2 - 15th World Congress on Engineering Asset Management, WCEAM 2021

Y2 - 15 August 2021 through 18 August 2021

ER -

Towards Evidence-Based Decision Making in Asset Management

Abstract

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SEED: Solid Value of Digitalization in Forest Industry

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Towards Evidence-Based Decision Making in Asset Management

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

SEED: Solid Value of Digitalization in Forest Industry

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