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Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance tasks

Overview of attention for article published in Applied Ergonomics, December 2015
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Mentioned by

wikipedia
1 Wikipedia page

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mendeley
153 Mendeley
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Article details
Title
Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance tasks
Published in
Applied Ergonomics, December 2015
DOI 10.1016/j.apergo.2015.11.017
Pubmed ID
Authors
Abstract

The purposes of this study were to develop a latent human error analysis process, to explore the factors of latent human error in aviation maintenance tasks, and to provide an efficient improvement strategy for addressing those errors. First, we used HFACS and RCA to define the error factors related to aviation maintenance tasks. Fuzzy TOPSIS with four criteria was applied to evaluate the error factors. Results show that 1) adverse physiological states, 2) physical/mental limitations, and 3) coordination, communication, and planning are the factors related to airline maintenance tasks that could be addressed easily and efficiently. This research establishes a new analytic process for investigating latent human error and provides a strategy for analyzing human error using fuzzy TOPSIS. Our analysis process complements shortages in existing methodologies by incorporating improvement efficiency, and it enhances the depth and broadness of human error analysis methodology.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Iran, Islamic Republic of 1 <1%
Brazil 1 <1%
Unknown 150 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 36 24%
Student > Ph. D. Student 20 13%
Student > Bachelor 9 6%
Researcher 8 5%
Student > Postgraduate 8 5%
Other 17 11%
Unknown 55 36%
Readers by discipline
Readers by discipline Count As %
Engineering 54 35%
Computer Science 5 3%
Psychology 5 3%
Business, Management and Accounting 4 3%
Design 4 3%
Other 20 13%
Unknown 61 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2020.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Applied Ergonomics
#638
of 1,658 outputs
Outputs of similar age
#127,338
of 399,631 outputs
Outputs of similar age from Applied Ergonomics
#15
of 30 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,658 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.