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Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly

Torres, Yaniel ; Nadeau, Sylvie ; Landau, Kurt (2022)
Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly.
In: Applied Sciences, 2022, 11 (2)
doi: 10.26083/tuprints-00017794
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly
Language: English
Date: 4 February 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: MDPI
Journal or Publication Title: Applied Sciences
Volume of the journal: 11
Issue Number: 2
Collation: 24 Seiten
DOI: 10.26083/tuprints-00017794
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Manual assembly operations are sensitive to human errors that can diminish the quality of final products. The paper shows an application of human reliability analysis in a realistic manufacturing context to identify where and why manual assembly errors occur. The techniques SHERPA and HEART were used to perform the analysis of human reliability. Three critical tasks were selected for analysis based on quality records: (1) installation of three types of brackets using fasteners, (2) fixation of a data cable to the assembly structure using cushioned loop clamps and (3) installation of cap covers to protect inlets. The identified error modes with SHERPA were: 36 action errors, nine selection errors, eight information retrieval errors and six checking errors. According to HEART, the highest human error probabilities were associated with assembly parts sensitive to geometry-related errors (brackets and cushioned loop clamps). The study showed that perceptually engaging assembly instructions seem to offer the highest potential for error reduction and performance improvement. Other identified areas of action were the improvement of the inspection process and workers’ provision with better tracking and better feedback. Implementation of assembly guidance systems could potentially benefit worker’s performance and decrease assembly errors.

Uncontrolled Keywords: human reliability analysis, manual assembly, human error, quality, ergonomics
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-177948
Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 04 Feb 2022 14:34
Last Modified: 14 Nov 2023 19:03
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/17794
PPN: 505613026
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