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 |
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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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