Beyond the Obvious - The Industry 5.0 by Hybrid Modelling

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

Abstract

It is said that heaven and the hell come together with digitalization. The rationale behind this claim is that digitalization is enabling much of scientific and engineering content in application-specific implementations, but the implementations themselves are complex and difficult to manage. Poor digital capabilities cause scattered and unstructured domain data with unknown reliability. Anyhow, from scientific and engineering perspectives, the scattered, unstructured and fragmented domain data is also the main enabler for scientific research. The general objective of a truly digitalized engineering world in Industry 5.0 can be reached by activating the scientific research and the industry to organize this data into a controllable & structured format. Consequently, benefits, competitive advantages and business potential will be realized by using a combination of different technologies. New business models are shaping the landscape for new technologies. Service-based logic and changing modes of resource ownership are transforming the way data can be utilized and shared among actors. Ownership of data is becoming increasingly important for many companies. Hybrid models are the practical ultimatums of data capitalization, since they are connecting engineering knowledge to business knowledge via enabling technologies such as IT, IoT, 5G, data analytics, Big Data, AI, etc. By integrating a physics-based model and data-driven model based on measured data, weaknesses of these individual approaches can be avoided, benefits of both approaches can be utilized and finally, more information and knowledge through integration processes can be created. In this article, we will give an engineering-based overview of a hybrid modelling approach to reach some of the end goals of Industry 5.0. The hybrid model approach will be clarified with specific benefits, competitive advantages and business potential.
Original languageEnglish
Title of host publicationProceedings of the NAFEMS World Congress 2019
Number of pages17
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventNAFEMS World Congress 2019, NWC 2019 - Quebec City, Canada
Duration: 17 Jun 201920 Jun 2019

Conference

ConferenceNAFEMS World Congress 2019, NWC 2019
CountryCanada
CityQuebec City
Period17/06/1920/06/19

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Industry
Knowledge engineering
Physics

Cite this

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title = "Beyond the Obvious - The Industry 5.0 by Hybrid Modelling",
abstract = "It is said that heaven and the hell come together with digitalization. The rationale behind this claim is that digitalization is enabling much of scientific and engineering content in application-specific implementations, but the implementations themselves are complex and difficult to manage. Poor digital capabilities cause scattered and unstructured domain data with unknown reliability. Anyhow, from scientific and engineering perspectives, the scattered, unstructured and fragmented domain data is also the main enabler for scientific research. The general objective of a truly digitalized engineering world in Industry 5.0 can be reached by activating the scientific research and the industry to organize this data into a controllable & structured format. Consequently, benefits, competitive advantages and business potential will be realized by using a combination of different technologies. New business models are shaping the landscape for new technologies. Service-based logic and changing modes of resource ownership are transforming the way data can be utilized and shared among actors. Ownership of data is becoming increasingly important for many companies. Hybrid models are the practical ultimatums of data capitalization, since they are connecting engineering knowledge to business knowledge via enabling technologies such as IT, IoT, 5G, data analytics, Big Data, AI, etc. By integrating a physics-based model and data-driven model based on measured data, weaknesses of these individual approaches can be avoided, benefits of both approaches can be utilized and finally, more information and knowledge through integration processes can be created. In this article, we will give an engineering-based overview of a hybrid modelling approach to reach some of the end goals of Industry 5.0. The hybrid model approach will be clarified with specific benefits, competitive advantages and business potential.",
author = "L{\"a}ms{\"a}, {Ville S.} and Simo-Pekka Leino and Juha Kortelainen and Bj{\"o}rn Hemming and Vesa Nieminen and Olli Saarela and P{\"a}ivi Kivikyt{\"o}-Reponen and Ville Kotovirta",
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language = "English",
isbn = "978-1-910643-52-5",
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Lämsä, VS, Leino, S-P, Kortelainen, J, Hemming, B, Nieminen, V, Saarela, O, Kivikytö-Reponen, P & Kotovirta, V 2019, Beyond the Obvious - The Industry 5.0 by Hybrid Modelling. in Proceedings of the NAFEMS World Congress 2019. NAFEMS World Congress 2019, NWC 2019, Quebec City, Canada, 17/06/19.

Beyond the Obvious - The Industry 5.0 by Hybrid Modelling. / Lämsä, Ville S.; Leino, Simo-Pekka; Kortelainen, Juha; Hemming, Björn; Nieminen, Vesa; Saarela, Olli; Kivikytö-Reponen, Päivi; Kotovirta, Ville.

Proceedings of the NAFEMS World Congress 2019. 2019.

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

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T1 - Beyond the Obvious - The Industry 5.0 by Hybrid Modelling

AU - Lämsä, Ville S.

AU - Leino, Simo-Pekka

AU - Kortelainen, Juha

AU - Hemming, Björn

AU - Nieminen, Vesa

AU - Saarela, Olli

AU - Kivikytö-Reponen, Päivi

AU - Kotovirta, Ville

PY - 2019

Y1 - 2019

N2 - It is said that heaven and the hell come together with digitalization. The rationale behind this claim is that digitalization is enabling much of scientific and engineering content in application-specific implementations, but the implementations themselves are complex and difficult to manage. Poor digital capabilities cause scattered and unstructured domain data with unknown reliability. Anyhow, from scientific and engineering perspectives, the scattered, unstructured and fragmented domain data is also the main enabler for scientific research. The general objective of a truly digitalized engineering world in Industry 5.0 can be reached by activating the scientific research and the industry to organize this data into a controllable & structured format. Consequently, benefits, competitive advantages and business potential will be realized by using a combination of different technologies. New business models are shaping the landscape for new technologies. Service-based logic and changing modes of resource ownership are transforming the way data can be utilized and shared among actors. Ownership of data is becoming increasingly important for many companies. Hybrid models are the practical ultimatums of data capitalization, since they are connecting engineering knowledge to business knowledge via enabling technologies such as IT, IoT, 5G, data analytics, Big Data, AI, etc. By integrating a physics-based model and data-driven model based on measured data, weaknesses of these individual approaches can be avoided, benefits of both approaches can be utilized and finally, more information and knowledge through integration processes can be created. In this article, we will give an engineering-based overview of a hybrid modelling approach to reach some of the end goals of Industry 5.0. The hybrid model approach will be clarified with specific benefits, competitive advantages and business potential.

AB - It is said that heaven and the hell come together with digitalization. The rationale behind this claim is that digitalization is enabling much of scientific and engineering content in application-specific implementations, but the implementations themselves are complex and difficult to manage. Poor digital capabilities cause scattered and unstructured domain data with unknown reliability. Anyhow, from scientific and engineering perspectives, the scattered, unstructured and fragmented domain data is also the main enabler for scientific research. The general objective of a truly digitalized engineering world in Industry 5.0 can be reached by activating the scientific research and the industry to organize this data into a controllable & structured format. Consequently, benefits, competitive advantages and business potential will be realized by using a combination of different technologies. New business models are shaping the landscape for new technologies. Service-based logic and changing modes of resource ownership are transforming the way data can be utilized and shared among actors. Ownership of data is becoming increasingly important for many companies. Hybrid models are the practical ultimatums of data capitalization, since they are connecting engineering knowledge to business knowledge via enabling technologies such as IT, IoT, 5G, data analytics, Big Data, AI, etc. By integrating a physics-based model and data-driven model based on measured data, weaknesses of these individual approaches can be avoided, benefits of both approaches can be utilized and finally, more information and knowledge through integration processes can be created. In this article, we will give an engineering-based overview of a hybrid modelling approach to reach some of the end goals of Industry 5.0. The hybrid model approach will be clarified with specific benefits, competitive advantages and business potential.

M3 - Conference article in proceedings

SN - 978-1-910643-52-5

BT - Proceedings of the NAFEMS World Congress 2019

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