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Innovation landscape and challenges of smart technologies and systems - a European perspective

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journal contribution
posted on 04.11.2019, 13:45 by Simon Micheler, Yee Goh, Niels Lohse
Latest developments in smart sensor and actuator technologies are expected to lead to a revolution in future manufacturing systems’ abilities and efficiency, often referred to as Industry 4.0. Smart technologies with higher degrees of autonomy will be essential to achieve the next breakthrough in both agility and productivity. However, the technologies will also bring substantial design and integration challenges and novelty risks to manufacturing businesses. The aim of this paper is to analyse the current landscape and to identify the challenges for introducing smart technologies into manufacturing systems in Europe. Expert knowledge from both industrial and academic practitioners in the field was extracted using an online survey. Feedback from a workshop was used to triangulate and extend the survey results. The findings indicate three main challenges for the ubiquitous implementation of smart technologies in manufacturing are: i) the perceived risk of novel technologies, ii) the complexity of integration, and iii) the consideration of human factors. Recommendations are made based on these findings to transform the landscape for smart manufacturing.

Funding

EP/I033467/ 1

H2020-FoF-2014 637178

Loughborough University [Wolfson studentship]

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Production and Manufacturing Research

Volume

7

Issue

1

Pages

503 - 528

Publisher

Informa UK Limited, trading as Taylor & Francis Group

Version

VoR (Version of Record)

Rights holder

© 2019 The Author(s)

Publisher statement

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Acceptance date

18/10/2019

Publication date

2019-11-18

ISSN

2169-3277

Language

en

Depositor

Dr Mey Goh Deposit date: 4 November 2019

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