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Factors affecting the organizational readiness to design autonomous machine systems: Towards an evaluation framework

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

Details

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
Pages742-747
Number of pages6
ISBN (Electronic)978-3-030-55190-2
ISBN (Print)978-3-030-55189-6
DOIs
Publication statusE-pub ahead of print - 2020
Publication typeA4 Article in a conference publication
EventIntelligent Systems Conference - London, United Kingdom
Duration: 3 Sep 20204 Sep 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1252 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceIntelligent Systems Conference
CountryUnited Kingdom
CityLondon
Period3/09/204/09/20

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.

Keywords

  • Autonomous systems, Engineering and design, Readiness

Publication forum classification

Field of science, Statistics Finland