Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach DOI Open Access
Vahideh Bafandegan Emroozi, Mostafa Kazemi, Alireza Pooya

et al.

Human Factors and Ergonomics in Manufacturing & Service Industries, Journal Year: 2024, Volume and Issue: 35(1)

Published: Oct. 16, 2024

Abstract Human error is often implicated in industrial accidents and frequently found to be a symptom of broader issues within the sociotechnical system. Therefore, research exploring human during maintenance activities important. This article aims assess probability tasks at cement factory using Cognitive Reliability Error Analysis Method System Dynamics modeling. Given that (HEP) influenced by various common performance conditions (CPCs) their sub‐factors, changes dynamically response other variables, SD method offers practical approach for estimating predicting behavior over time. study identifies quantifies variables affecting HEP, explores interactions feedback tasks, assesses associated costs. The machine learning technique then used estimate relationship between HEP these optimal value function, 0.000772, determined identifying minimum point cubic thereby minimizing costs occupational accidents. Determining crucial excessive investing improved ergonomics CPCs better performance. addresses significant gap existing where impact on has not been estimated as function. Furthermore, three scenarios are presented help managers allocate organization's budget more effectively.

Language: Английский

Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach DOI Open Access
Vahideh Bafandegan Emroozi, Mostafa Kazemi, Alireza Pooya

et al.

Human Factors and Ergonomics in Manufacturing & Service Industries, Journal Year: 2024, Volume and Issue: 35(1)

Published: Oct. 16, 2024

Abstract Human error is often implicated in industrial accidents and frequently found to be a symptom of broader issues within the sociotechnical system. Therefore, research exploring human during maintenance activities important. This article aims assess probability tasks at cement factory using Cognitive Reliability Error Analysis Method System Dynamics modeling. Given that (HEP) influenced by various common performance conditions (CPCs) their sub‐factors, changes dynamically response other variables, SD method offers practical approach for estimating predicting behavior over time. study identifies quantifies variables affecting HEP, explores interactions feedback tasks, assesses associated costs. The machine learning technique then used estimate relationship between HEP these optimal value function, 0.000772, determined identifying minimum point cubic thereby minimizing costs occupational accidents. Determining crucial excessive investing improved ergonomics CPCs better performance. addresses significant gap existing where impact on has not been estimated as function. Furthermore, three scenarios are presented help managers allocate organization's budget more effectively.

Language: Английский

Citations

2