International Journal of Industrial Engineering and Management

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Vol. 11 No. 1 (2020)
Original Research Article

Model of Human Error Probability Based on Dual-Phase Approach for Learning Process in Cognitive-Oriented Tasks

Francesco Facchini
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari
Bio
Salvatore Digiesi
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari
Bio
Giovanni Mummolo
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari
Bio

Published 2020-03-30

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Keywords

  • Human Error Probability,
  • Human Reliability Assessment,
  • Fatigue-Recovery,
  • Learning-Forgetting,
  • Work Breaks Schedules

How to Cite

Facchini, F., Digiesi, S., & Mummolo, G. (2020). Model of Human Error Probability Based on Dual-Phase Approach for Learning Process in Cognitive-Oriented Tasks. International Journal of Industrial Engineering and Management, 11(1), 31–39. https://doi.org/10.24867/IJIEM-2020-1-250

Abstract

Human Error Probability (HEP) is a key element in the chain of events that could lead up to system accidents and despite the efforts of recently studies to evaluate the human reliability, many of the limitations and problems have not yet been solved. The model proposed tries to overcome these limitations by means of a method that combines the advantages of a dual-phase learning approach with that of a multi-attribute utility analysis, in accordance with Dar-El’ s theory. Results of numerical simulations show the effectiveness of the model in quantifying, over time, the HEP and in evaluating the human task error prone- ness by varying the work breaks schedule.

 

Article history: Received (August 28, 2019); Revised (January 21, 2020); Accepted (January 27, 2019); Published online (February 03, 2020)  

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