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Identifying variability key characteristics for automation design - a case study of finishing process

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conference contribution
posted on 07.09.2017 by Angel Sanchez-Salas, Yee Goh, Keith Case
This paper describes an investigation of human interaction with process variability (i.e. variability not introduced by the humans themselves) in a manual manufacturing process. The process studied is grinding-polishing of high-value metal components, to evaluate the extent of the variability and how the operators applied their skills to overcome it. The research methods include analysis of documentation, observation and video recording and interviews. The results indicate that humans are able to adapt to variability in the parts and tools in order to deliver the product within specification. This suggests unconscious and automated behaviour meaning that the procedures executed are embedded in the minds of the operators. Vision and tactile senses were mainly used to check work progress and control critical features (Key Characteristics). Based on the findings of this and other case study, a framework will be developed to categorise variability in manual manufacturing processes to support the design of an automated solution.

Funding

EPSRC Centre for Innovative Manufacturing in Intelligent Automation (Grant EP/IO33467/1)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

21st International Conference on Engineering Design, ICED17

Volume

4

Pages

21 - 30 (10)

Citation

SANCHEZ-SALAS, A., GOH, Y.M., and CASE, KEITH, 2017. Identifying variability key characteristics for automation design - a case study of finishing process. IN: Maier, A. ... et al (eds). Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol 4: Design Methods and Tools, Vancouver, Canada, 21st-25th August 2017, pp. 21 - 30.

Publisher

© Design Society

Version

VoR (Version of Record)

Publisher statement

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/

Acceptance date

01/07/2017

Publication date

2017

Notes

This is a conference paper.

ISBN

9781904670933

ISSN

2223-7941

Language

en

Location

Vancouver, Canada

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