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Influencing factors for implementing automation in manufacturing businesses – a literature review

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conference contribution
posted on 30.09.2016 by Simon Micheler, Yee Goh, Niels Lohse
The latest developments in Robotics and Autonomous Systems (RAS) are expected to lead to a transformation of future production systems’ capabilities and productivity. While increased human-robot collaboration as well as higher degrees of autonomous systems within a manufacturing context will be essential to achieve the next breakthrough in both agility as well as productivity, they will pose significant new challenges for how production systems are planned and engineered to maximise the potential and minimise the risks of this new technology for manufacturing businesses. Therefore, a main focus of this review was on determining the critical success factors for the implementation of RAS and on gaining a deeper understanding of the current research focus. The research results lead to a broader discussion of the implications arising from future automation and human-robot collaboration which highlights the current limitation of decision making criteria considered in the current literature. The results of the review have been quantitatively verified with the use of the text mining tool WordSmith Tool (v7.0).


The authors acknowledge support from the EPSRC Centre for Innovative Manufacturing in Intelligent Automation in undertaking this research work under grant reference number EP/IO33467/1.



  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Conference on Manufacturing Research


MICHELER, S., GOH, Y.M. and LOHSE, N., 2016. Influencing factors for implementing automation in manufacturing businesses – a literature review. IN: Proceedings of the 14th International Conference on Manufacturing Research (ICMR), Loughborough University, Loughborough, UK, 6 - 8 September 2016.


Loughborough University


AM (Accepted Manuscript)

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This is a conference paper http://www.icmr.org.uk/.




Loughborough, UK