Industry 5.0 Readiness – “Optimization of the Relationship between Humans and Robots in Manufacturing Companies in Southeast of Ireland”

Emma-Ikata, Diseph; Doyle-Kent, Mary

doi:10.1016/j.ifacol.2022.12.071

Cited by 5 publications

(1 citation statement)

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“…The project started with exploratory interviews [31] The interviews partially informed key words for a systematic literature review of academic papers. The review focuses on papers within the industrial context of warehousing, where system technologies such as digital twins (DTs), cyber-physical systems (CPSs) and point technologies such as robotics and sensors are considered [13,24,32]. There is ample reflection on warehousing as a context for I4, with publications still being offered in 2023, but less has been undergone to review this newer area of contribution comprehensively [3,33].…”

Section: Overview Of Methodsmentioning

confidence: 99%

Industry 5 and the Human in Human-Centric Manufacturing

Briken

Moore

Scholarios

et al. 2023

Sensors

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Industry 4 (I4) was a revolutionary new stage for technological progress in manufacturing which promised a new level of interconnectedness between a diverse range of technologies. Sensors, as a point technology, play an important role in these developments, facilitating human–machine interaction and enabling data collection for system-level technologies. Concerns for human labour working in I4 environments (e.g., health and safety, data generation and extraction) are acknowledged by Industry 5 (I5), an update of I4 which promises greater attention to human–machine relations through a values-driven approach to collaboration and co-design. This article explores how engineering experts integrate values promoted by policy-makers into both their thinking about the human in their work and in their writing. This paper demonstrates a novel interdisciplinary approach in which an awareness of different disciplinary epistemic values associated with humans and work guides a systematic literature review and interpretive coding of practice-focussed engineering papers. Findings demonstrate evidence of an I5 human-centric approach: a high value for employees as “end-users” of innovative systems in manufacturing; and an increase in output addressing human activity in modelling and the technologies available to address this concern. However, epistemic publishing practices show that efforts to increase the effectiveness of manufacturing systems often neglect worker voice.

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