Application of AHP and DEMATEL for Identifying Factors Influencing Coal Mine Practitioners’ Unsafe State

Chen, Lei; Li, Hongxia; Tian, Shu

doi:10.3390/su142114511

Cited by 6 publications

(2 citation statements)

References 54 publications

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“…Firstly, an assessment is conducted regarding the driver's professional proficiency, examining whether operational skills are reasonably mastered and if there is a sufficient level of safety awareness [73]. Secondly, the driver's professional evaluation is sought from colleagues and supervisors [74]. Additionally, reviewing relevant work logs and safety records is crucial to determining whether the driver consistently prioritizes safety [75].…”

Section: Standard For Determining the Level Of Psfs In The Cab Of Tow...mentioning

confidence: 99%

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Si,

Niu

2024

Buildings

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With the advent of Industry 4.0, the prevalence of tower cranes equipped with hook visualization is increasing. However, the introduction of new interface management tasks has led to novel patterns of human errors for operators. The Simplified Plant Analysis Risk–Human Reliability Assessment (SPAR-H) method has emerged as a relevant approach for the prediction of human reliability in smart construction tower crane operations. However, the current SPAR-H method is only partially applicable and does not fully meet the requirements of this study. Initially, a text mining approach (TF-IDF-TruncatedSVD-ComplementNB) was employed to identify operator error-specific terms in tower crane operations. These terms were then correlated with the eight Performance Shaping Factors (PSFs) of the SPAR-H method, and corresponding failure modes and potential causes were determined from the literature. This ensured a more objective selection of influencing factors and PSFs during the stratification process, which was validated through questionnaire surveys. Furthermore, standards for SPAR-H PSF levels were established based on the characteristics of tower crane operators. Given the inherent complexity of relationships among SPAR-H PSFs, the DEMATEL-ANP method was applied. This involved analyzing logical interactions and causal relationships between first-level and second-level indicators of PSFs, obtaining weights, and integrating these with the SPAR-H method to determine human reliability. Finally, an analysis and validation were conducted using a case study of an accident involving a smart construction tower crane, confirming the subsequent reliability of operator actions. The result of the accident case study yielded a reliability measure of 4.2 × 10−5. These findings indicate that the evaluation process of this method aligns with scenarios encountered in smart construction tower crane operations.

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Section: Standard For Determining the Level Of Psfs In The Cab Of Tow...mentioning

confidence: 99%

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Si,

Niu

2024

Buildings

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“…Findings by Chen et al [25] showed that the factors affecting unsafe behaviors in mines could be classified into four categories: physiological, psychological, organizational, and technological. They introduced physical quality, fatigue level, safety attitude, safety awareness, and safety culture as the most important factors identified in these four categories.…”

Section: Literature Reviewmentioning

confidence: 99%

Causal Analysis of Safety Risk Perception of Iranian Coal Mining Workers Using Fuzzy Delphi and DEMATEL

Hannani,

Bascompta,

Sabzevar

et al. 2023

Sustainability

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Underground coal mines, one of the most dangerous work environments, have experienced accidents and disasters. One of the main reasons for those unsafe events is the workers’ poor understanding of the hazards and risks of working in this work environment. Therefore, the present study aims to identify factors affecting the safety risk perception of underground coal mine workers in Iran and investigate their cause-and-effect relationships. By reviewing the literature, 40 variables were identified in five categories: individual, organizational, environmental, task, and external factors. The identified variables were ranked according to the expert group’s opinion in the form of a fuzzy Delphi study regarding their effects on risk perception. In the next step, 23 variables were selected to investigate the cause-and-effect relationships using the DEMATEL method. The study’s findings showed that organizational factors and some individual factors play a fundamental role in workers’ risk perception. The variables of safety culture, safety management style, and safety attitude had the most significant impact, and the variables of personal protective equipment and risk aversion had the smallest impact on workers’ risk perception. The present study’s findings can be used as a guideline to provide effective solutions for managers and workers in improving safety risk perception, subsequently reducing unsafe behaviors and increasing the safety status of underground coal mines.

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A three-stage holistic risk assessment approach proposal based on KEMIRA-M and DEMATEL integration

Toktaş

Can

2022

Knowl Inf Syst

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Application of AHP and DEMATEL for Identifying Factors Influencing Coal Mine Practitioners’ Unsafe State

Cited by 6 publications

References 54 publications

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Enhancing Human Reliability Prediction in Smart Tower Crane Interfaces: A Refined Approach Using Simplified Plant Analysis Risk–Human Reliability Assessment and the Decision Making Trial and Evaluation Laboratory–Analytic Network Process

Causal Analysis of Safety Risk Perception of Iranian Coal Mining Workers Using Fuzzy Delphi and DEMATEL

A three-stage holistic risk assessment approach proposal based on KEMIRA-M and DEMATEL integration

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