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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/17142

Title: Human variability, task complexity and motivation contribution in manufacturing
Authors: Sanchez-Salas, Angel
Mat, Shafizal
Goh, Yee M.
Case, Keith
Keywords: Human variability
Manufacturing automation
Issue Date: 2013
Publisher: Cranfield University Press
Citation: SANCHEZ, A. ... et al., 2013. Human variability, task complexity and motivation contribution in manufacturing. IN: Shehab, E., Ball, P. and Tjahjono, B. (eds.) Advances in Manufacturing Technology XXVII Proceedings of the 11th International Conference on Manufacturing Research, 19-20 September 2013. Cranfield: Cranfield University Press, pp. 325-330.
Abstract: This paper is a preliminary study of the human contribution to variability in manufacturing industry and how motivation and learning play a key role in this contribution. The longer term aim is to incorporate this understanding in a methodology, using principles and guidelines, that aims to help in the design of intelligent automation that reduces product variability. This paper reports on the early stages that are concerned with understanding relationships between human-induced product variability, task complexity and human characteristics and capabilities. Two areas have been selected for initial study in manufacturing industry: (a) the relationship between manual task complexity and product variability and (b) the relationship between employee motivational factors and learning behaviours. The paper discusses the progress to date in conducting initial empirical studies and surveys in industry and draws tentative conclusions of the value of this knowledge to the overall objective of intelligent automation.
Description: This is a conference paper
Sponsor: EPSRC Centre for Innovative Manufacturing in Intelligent Automation (Grant No. EP/I033467/1) and the Ministry of Higher Education, Malaysia
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/17142
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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