Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework

Valtteri Vuorimaa; Eetu Heikkilä; Hannu Karvonen; Kari Koskinen; Jouko Laitinen

doi:10.1007/978-3-030-55190-2_62

Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework

Valtteri Vuorimaa, Eetu Heikkilä (Corresponding author), Hannu Karvonen, Kari Koskinen, Jouko Laitinen

Tampere University

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

Abstract

Increasing autonomy of machine systems is a major trend in industry. It is foreseen to improve efficiency and safety of operations, but also to introduce new kinds of socio-technical challenges and risks. To address these challenges, development organizations need a set of capabilities, processes and tools to achieve the needed readiness for designing autonomous machine systems (AMS). In this study, the key challenges, design approaches and proposed solutions were studied by performing a series of semi-structured interviews with companies working in the domain of mobile machines that are in different phases of development and deployment of AMS. Based on literature and interview findings, a set of factors affecting the organizational readiness to design AMS were identified. These factors can be used within organizations to perform assessments of their capability in design-related aspects of AMS, and further to develop an evaluation framework or tool for more comprehensive organizational assessments.

Original language	English
Title of host publication	Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3
Subtitle of host publication	IntelliSys 2020
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	742-747
ISBN (Electronic)	978-3-030-55190-2
ISBN (Print)	978-3-030-55189-6
DOIs	https://doi.org/10.1007/978-3-030-55190-2_62
Publication status	Published - 2021
MoE publication type	A4 Article in a conference publication
Event	Intelligent Systems Conference 2020, IntelliSys 2020: Online - Virtual Duration: 3 Sept 2020 → 4 Sept 2020 https://saiconference.com/IntelliSys

Publication series

Series	Advances in Intelligent Systems and Computing
Volume	1252
ISSN	2194-5357

Conference

Conference	Intelligent Systems Conference 2020, IntelliSys 2020
Period	3/09/20 → 4/09/20
Internet address	https://saiconference.com/IntelliSys

Keywords

autonomous systems
engineering and design
readiness

Access to Document

10.1007/978-3-030-55190-2_62

Cite this

Vuorimaa, V., Heikkilä, E., Karvonen, H., Koskinen, K., & Laitinen, J. (2021). Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3: IntelliSys 2020 (pp. 742-747). Springer. Advances in Intelligent Systems and Computing Vol. 1252 https://doi.org/10.1007/978-3-030-55190-2_62

Vuorimaa, Valtteri ; Heikkilä, Eetu ; Karvonen, Hannu et al. / Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems : Towards an Evaluation Framework. Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3: IntelliSys 2020. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2021. pp. 742-747 (Advances in Intelligent Systems and Computing, Vol. 1252).

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abstract = "Increasing autonomy of machine systems is a major trend in industry. It is foreseen to improve efficiency and safety of operations, but also to introduce new kinds of socio-technical challenges and risks. To address these challenges, development organizations need a set of capabilities, processes and tools to achieve the needed readiness for designing autonomous machine systems (AMS). In this study, the key challenges, design approaches and proposed solutions were studied by performing a series of semi-structured interviews with companies working in the domain of mobile machines that are in different phases of development and deployment of AMS. Based on literature and interview findings, a set of factors affecting the organizational readiness to design AMS were identified. These factors can be used within organizations to perform assessments of their capability in design-related aspects of AMS, and further to develop an evaluation framework or tool for more comprehensive organizational assessments.",

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Vuorimaa, V, Heikkilä, E, Karvonen, H, Koskinen, K & Laitinen, J 2021, Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework. in K Arai, S Kapoor & R Bhatia (eds), Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3: IntelliSys 2020. Springer, Advances in Intelligent Systems and Computing, vol. 1252, pp. 742-747, Intelligent Systems Conference 2020, IntelliSys 2020, 3/09/20. https://doi.org/10.1007/978-3-030-55190-2_62

Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework. / Vuorimaa, Valtteri; Heikkilä, Eetu (Corresponding author); Karvonen, Hannu et al.
Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3: IntelliSys 2020. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2021. p. 742-747 (Advances in Intelligent Systems and Computing, Vol. 1252).

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

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T2 - Intelligent Systems Conference 2020, IntelliSys 2020

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AU - Heikkilä, Eetu

AU - Karvonen, Hannu

AU - Koskinen, Kari

AU - Laitinen, Jouko

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N2 - Increasing autonomy of machine systems is a major trend in industry. It is foreseen to improve efficiency and safety of operations, but also to introduce new kinds of socio-technical challenges and risks. To address these challenges, development organizations need a set of capabilities, processes and tools to achieve the needed readiness for designing autonomous machine systems (AMS). In this study, the key challenges, design approaches and proposed solutions were studied by performing a series of semi-structured interviews with companies working in the domain of mobile machines that are in different phases of development and deployment of AMS. Based on literature and interview findings, a set of factors affecting the organizational readiness to design AMS were identified. These factors can be used within organizations to perform assessments of their capability in design-related aspects of AMS, and further to develop an evaluation framework or tool for more comprehensive organizational assessments.

AB - Increasing autonomy of machine systems is a major trend in industry. It is foreseen to improve efficiency and safety of operations, but also to introduce new kinds of socio-technical challenges and risks. To address these challenges, development organizations need a set of capabilities, processes and tools to achieve the needed readiness for designing autonomous machine systems (AMS). In this study, the key challenges, design approaches and proposed solutions were studied by performing a series of semi-structured interviews with companies working in the domain of mobile machines that are in different phases of development and deployment of AMS. Based on literature and interview findings, a set of factors affecting the organizational readiness to design AMS were identified. These factors can be used within organizations to perform assessments of their capability in design-related aspects of AMS, and further to develop an evaluation framework or tool for more comprehensive organizational assessments.

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Vuorimaa V, Heikkilä E, Karvonen H, Koskinen K, Laitinen J. Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework. In Arai K, Kapoor S, Bhatia R, editors, Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3: IntelliSys 2020. Springer. 2021. p. 742-747. (Advances in Intelligent Systems and Computing, Vol. 1252). Epub 2020 Aug 25. doi: 10.1007/978-3-030-55190-2_62

Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework

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