Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence

Jesse Tervo; Helena Kortelainen; Anu Purhonen

doi:10.1007/978-3-030-92604-5_24

Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence

Jesse Tervo^* (Corresponding author), Helena Kortelainen, Anu Purhonen

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

The main motivation of this paper is to present solutions that gather data and knowledge and provide evidence for asset-related decision-making in various industrial maintenance tasks. In our research, identification of user needs and analyzing how their requirements could be fulfilled is in the core. We develop a proof of concept (POC), which is a practical MS Excel-solution that is based on the concept of evidence-based asset management, an approach that focuses on broad utilization of evidence from multiple information sources. Requirements for the POC were drawn from end user interviews and the results of the subsequent evaluation interviews, in which a previous version of the POC was tested. The requirements included, for instance, implementation of visual elements and the utilization of artificial intelligence. In this paper, we discuss the means to fulfill such requirements and propose a software solution. In addition, we will study the feasibility of the solution in asset management organizations from a data management perspective.

Original language	English
Title of host publication	Advances in Systems Engineering
Subtitle of host publication	Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland
Publisher	Springer
Pages	271-280
ISBN (Electronic)	978-3-030-92604-5
ISBN (Print)	978-3-030-92603-8
DOIs	https://doi.org/10.1007/978-3-030-92604-5_24
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	28th International Conference On Systems Engineering, ICSEng 2021: Online - Wrocław, Poland Duration: 14 Dec 2021 → 16 Dec 2021

Publication series

Series	Lecture Notes in Networks and Systems
Number	364
ISSN	2367-3370

Conference

Conference	28th International Conference On Systems Engineering, ICSEng 2021
Country/Territory	Poland
City	Wrocław
Period	14/12/21 → 16/12/21

Keywords

Artificial intelligence
Asset management
Data management
Evidence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-92604-5_24

SEED: Solid Value of Digitalization in Forest Industry
Valkokari, P. (Manager), Nyblom, J. (Participant), Kortelainen, H. (Participant), Hytönen, E. (Participant), Purhonen, A. (Participant), Valkokari, K. (Participant), Pakkala, D. (Participant), Saari, L. (Participant), Räikkönen, M. (Participant), Kääriäinen, J. (Participant), Siira, E. (Participant), Papakonstantinou, N. (Participant), Sorsamäki, L. (Participant), Takalo-Mattila, J. (Participant) & Palomäki, K. (Participant)
1/09/19 → 28/02/22
Project: Business Finland project

Cite this

Tervo, J., Kortelainen, H., & Purhonen, A. (2022). Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence. In Advances in Systems Engineering: Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland (pp. 271-280). Springer. https://doi.org/10.1007/978-3-030-92604-5_24

Tervo, Jesse ; Kortelainen, Helena ; Purhonen, Anu. / Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence. Advances in Systems Engineering: Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland. Springer, 2022. pp. 271-280 (Lecture Notes in Networks and Systems; No. 364).

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title = "Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence",

abstract = "The main motivation of this paper is to present solutions that gather data and knowledge and provide evidence for asset-related decision-making in various industrial maintenance tasks. In our research, identification of user needs and analyzing how their requirements could be fulfilled is in the core. We develop a proof of concept (POC), which is a practical MS Excel-solution that is based on the concept of evidence-based asset management, an approach that focuses on broad utilization of evidence from multiple information sources. Requirements for the POC were drawn from end user interviews and the results of the subsequent evaluation interviews, in which a previous version of the POC was tested. The requirements included, for instance, implementation of visual elements and the utilization of artificial intelligence. In this paper, we discuss the means to fulfill such requirements and propose a software solution. In addition, we will study the feasibility of the solution in asset management organizations from a data management perspective.",

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author = "Jesse Tervo and Helena Kortelainen and Anu Purhonen",

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Tervo, J, Kortelainen, H & Purhonen, A 2022, Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence. in Advances in Systems Engineering: Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland. Springer, Lecture Notes in Networks and Systems, no. 364, pp. 271-280, 28th International Conference On Systems Engineering, ICSEng 2021, Wrocław, Poland, 14/12/21. https://doi.org/10.1007/978-3-030-92604-5_24

Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence. / Tervo, Jesse (Corresponding author); Kortelainen, Helena; Purhonen, Anu.
Advances in Systems Engineering: Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland. Springer, 2022. p. 271-280 (Lecture Notes in Networks and Systems; No. 364).

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

TY - GEN

T1 - Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence

AU - Tervo, Jesse

AU - Kortelainen, Helena

AU - Purhonen, Anu

PY - 2022

Y1 - 2022

N2 - The main motivation of this paper is to present solutions that gather data and knowledge and provide evidence for asset-related decision-making in various industrial maintenance tasks. In our research, identification of user needs and analyzing how their requirements could be fulfilled is in the core. We develop a proof of concept (POC), which is a practical MS Excel-solution that is based on the concept of evidence-based asset management, an approach that focuses on broad utilization of evidence from multiple information sources. Requirements for the POC were drawn from end user interviews and the results of the subsequent evaluation interviews, in which a previous version of the POC was tested. The requirements included, for instance, implementation of visual elements and the utilization of artificial intelligence. In this paper, we discuss the means to fulfill such requirements and propose a software solution. In addition, we will study the feasibility of the solution in asset management organizations from a data management perspective.

AB - The main motivation of this paper is to present solutions that gather data and knowledge and provide evidence for asset-related decision-making in various industrial maintenance tasks. In our research, identification of user needs and analyzing how their requirements could be fulfilled is in the core. We develop a proof of concept (POC), which is a practical MS Excel-solution that is based on the concept of evidence-based asset management, an approach that focuses on broad utilization of evidence from multiple information sources. Requirements for the POC were drawn from end user interviews and the results of the subsequent evaluation interviews, in which a previous version of the POC was tested. The requirements included, for instance, implementation of visual elements and the utilization of artificial intelligence. In this paper, we discuss the means to fulfill such requirements and propose a software solution. In addition, we will study the feasibility of the solution in asset management organizations from a data management perspective.

KW - Artificial intelligence

KW - Asset management

KW - Data management

KW - Evidence

U2 - 10.1007/978-3-030-92604-5_24

DO - 10.1007/978-3-030-92604-5_24

M3 - Conference article in proceedings

AN - SCOPUS:85121696395

SN - 978-3-030-92603-8

T3 - Lecture Notes in Networks and Systems

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Tervo J, Kortelainen H, Purhonen A. Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence. In Advances in Systems Engineering: Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland. Springer. 2022. p. 271-280. (Lecture Notes in Networks and Systems; No. 364). doi: 10.1007/978-3-030-92604-5_24

Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

SEED: Solid Value of Digitalization in Forest Industry

Cite this