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Innovation and I4.0 management in connected and autonomous automotive manufacturing

Innovation and I4.0 management in connected and autonomous automotive manufacturing

Shah, Satya, Mabbott, Owen, Naghi Ganji, Elmira and Bate, Jordan (2018) Innovation and I4.0 management in connected and autonomous automotive manufacturing. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. ISBN 978-1538614709 (doi:https://doi.org/10.1109/ICE.2018.8436262)

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Abstract

The paper aims to present the holistic view on the principles and practices of innovation, innovation management and industry 4.0 within connected and autonomous automotive manufacturing environments. It has been seen through literature that innovation management practices enable companies to compete within the autonomous and connected vehicle market and is considered as an emerging and competitive differentiator towards the growth of the product and that of meeting customer demands within the changing markets. Similarly, industry 4.0 has the capabilities to offer new and innovative insights within manufacturing processes, allowing organisations to exchange data across systems and enable them to utilise the information more effectively and efficiently towards future decision-making capabilities. Virtualization of the process and that of the supply ensures more smooth operations between intra-organisations and external partners and hence more advanced data sharing systems are going to be provide the functionality within the global environments. The paper examines the linkage of innovation management and industry 4.0 practices within connected and autonomous vehicles in automotive sector.

Item Type: Conference Proceedings
Title of Proceedings: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Additional Information: Conference held in Stuttgart, Germany, 17-20 June 2018.
Uncontrolled Keywords: Innovation Management, Information Technology, Connected and Autonomous Vehicles, Industry 4.0
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Faculty of Engineering & Science > Engineering Enterprise
Last Modified: 03 Jan 2019 14:43
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19695

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