Human reliability analysis in deep excavation projects using a fuzzy Bayesian HEART-5M integrated method: case of a residential tower in north Tehran.
Objectives. Numerous labourers lose their lives or suffer from injuries and disabilities yearly due to the lack of safety enforcement in construction projects and accidents caused by excavation collapses. The identification and ranking of human errors have always been a central concern in civil engi...
| Publicado en: | International Journal of Occupational Safety & Ergonomics Vol. 29; no. 3; pp. 1182 - 1196 |
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| Autores principales: | , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Sep2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=166103053&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 166103053 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10803548 39QK jtl: International Journal of Occupational Safety & Ergonomics issn: 10803548 maglogo: N pubinfo: dt: Sep2023 vid: 29 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 166103053 158584280 166103053 166103053 10.1080/10803548.2022.2115227 166103053 ppf: 1182 ppct: 14 formats: tig: atl: Human reliability analysis in deep excavation projects using a fuzzy Bayesian HEART-5M integrated method: case of a residential tower in north Tehran. aug: au: Ghousi, Rouzbeh Khanzadi, Mostafa Esfahani, Mahdiyar Mokhlespour affil: Department of Industrial Engineering, Iran University of Science & Technology, Iran sug: subj: Construction Industry Iran Emergencies Human Error Evaluation Human Error Prevention and Control Task Performance and Analysis Models, Statistical Utilization Algorithms Utilization Human Iran Accidents, Occupational Prevention and Control Decision Support Techniques Decision Making Methods Drainage Electrical Safety Fire Safety ab: Objectives. Numerous labourers lose their lives or suffer from injuries and disabilities yearly due to the lack of safety enforcement in construction projects and accidents caused by excavation collapses. The identification and ranking of human errors have always been a central concern in civil engineering. Previous studies on excavation work and related risks have focused on retaining structure methods, while human errors may be a significant contributor to accidents and near misses. Methods. This study identified human errors in deep excavation projects using hierarchical task analysis (HTA) and a systematic human error reduction and prediction approach (SHERPA). Results. The fuzzy Bayesian human error assessment and reduction technique (HEART)-5M method was implemented to determine the human error probability (HEP) for all case-study tasks. Critical tasks were obtained as 'drainage system execution', 'water and wastewater pipes', 'gas pipes', 'checking cracks in surrounding buildings' and 'checking soil slippage' with probability levels of 0.46, 0.44, 0.44, 0.37 and 0.37, respectively. Finally, remedial measures were presented for crucial tasks. Conclusions. Six unbiased experts approved the model's desirability. The suggested approach can serve as a valuable guide for all project stakeholders in identifying, evaluating and taking corrective actions in similar projects. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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