posted on 2018-08-08, 11:10authored byAnna Brolin, Gunnar Backstrand, Dan Hogberg, Peter Thorvald, Keith Case
In manual assembly, a strategy to meet the goal of efficient production is the increased use of kitting as a material supply principle. Even though kitting is already implemented in industry, there are still uncertainties regarding the effects of introducing kits, particularly from a human factors perspective.
This paper presents initial steps in the development of a method to be used for the evaluation of kitting. This from an information source point of view and for studying effects related to productivity and quality. The methodology is projected to act as a foundation for how to carry out a subsequent comprehensive case study. The purpose of the case study is to explore how kitting affects the cognitive workload compared to the ordinary material rack combined with part numbers used in the current manufacturing industry. This is done by measuring productivity; time spent on assembling a product, and quality; number of assembly errors. One step in the methodology development process, which is described in this paper, was to conduct a pilot study, primarily to test the methodology related to the selection of measurement parameters, as well as for getting experiences from running the methodology with real test subjects.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Fourth International Conference on Applied Human Factors and Ergonomics, AHFE 2012
Advances in Ergonomics in Manufacturing
Pages
346 - 353 (8)
Citation
BROLIN, A. ... et al, 2012. Kitting as an information source in manual assembly. IN: Trzcielinski, S. and Karwowski, W. (eds.). Advances in Ergonomics in Manufacturing: Proceedings of the Fourth International Conference on Applied Human Factors and Ergonomics, AHFE 2012, San Francisco, USA, 21-25 July, 2012. Boca Raton, Fla.; London: CRC Press, pp.346-353
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/