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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26416

Title: Identifying variability key characteristics for automation design - a case study of finishing process
Authors: Sanchez-Salas, Angel
Goh, Yee M.
Case, Keith
Keywords: Case study
Complexity
Uncertainty
Key characteristics
Variability
Issue Date: 2017
Publisher: © Design Society
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.
Abstract: 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.
Description: This is a conference paper.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/26416
Publisher Link: https://www.designsociety.org/publication/39650/identifying_variability_key_characteristics_for_automation_design-a_case_study_of_finishing_process
ISBN: 9781904670933
ISSN: 2223-7941
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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