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

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ID: 49651
2016
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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.
Reference Key
chiu2016latentapplied Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chiu, Ming-Chuan;Hsieh, Min-Chih;
Journal Applied ergonomics
Year 2016
DOI
10.1016/j.apergo.2015.11.017
URL
Keywords
TOPSIS aviation fuzzy set theory human error mcdm

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