Developmental approach of safety in ergonomics/human factors: insights of constructed safety in six work environments DOI
Louis Galey, Adélaïde Nascimento, Lucie Cuvelier

et al.

Ergonomics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Aug. 17, 2024

This article brings together works on the concept of constructed safety in ergonomics, carried out over last twenty-five years. Firstly, we situate this approach to relation previously developed existing models (e.g. regulated and managed safety) with regard development activity-centred ergonomics. We then present six research actions ergonomics from a selection different fields, small companies industry future an international group: public works, hospitals, aeronautical industry, railway transport, agriculture, chemical order describe applications. The results highlight that is respectively raised by mutual knowledge between workers management, collective decision making, reflexive work rules, spatiotemporal articulation sources, integration pesticide exposure situations designers regulation, social regulation sustaining risk understanding aspect involving diversity actors (workers, preventionists, managers, local residents authorities). By focusing analysis actual practices real situations, aims account for way which deployed daily basis meet production health objectives. contributes design safe systems developmental propose operating model safety.

Language: Английский

An advanced framework for leakage risk assessment of hydrogen refueling stations using interval-valued spherical fuzzy sets (IV-SFS) DOI Creative Commons

Reza Ghasemi Pirbalouti,

Mohammadreza Karimi Dehkordi, Javad Mohammadpour

et al.

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 48(54), P. 20827 - 20842

Published: March 23, 2023

The extensive population growth calls for substantial studies on sustainable development in urban areas. Thus, it is vital cities to be resilient new situations and adequately manage the changes. Investing renewable green energy, including high-tech hydrogen infrastructure, crucial economic progress preserving environmental quality. However, implementing technology needs an effective efficient risk assessment investigation minimize acceptable level or ALARP (As low as reasonably practicable). present study proposes advanced decision-making framework of refueling station leakage by adopting Bow-tie analysis Interval-Value Spherical Fuzzy Sets properly deal with subjectivity process. outcomes case illustrate causality stations' undesired events enhance decision-maker's thoughts about management under uncertainty. According findings, jet fire a more likely accident liquid leakage. Furthermore, equipment failure has been recognized most cause order maintain reliability stations, that decision-makers develop trustworthy safety system integrates variety mitigation measures asset strategies.

Language: Английский

Citations

55

A comprehensive resilience assessment framework for hydrogen energy infrastructure development DOI Creative Commons
Mohammad Yazdi, Esmaeil Zarei,

Reza Ghasemi Pirbalouti

et al.

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 51, P. 928 - 947

Published: July 11, 2023

In recent years, sustainable development has become a challenge for many societies due to natural or other disruptive events, which have disrupted economic, environmental, and energy infrastructure growth. Developing hydrogen is crucial because of its numerous benefits over conventional sources. However, the complexity infrastructure, including production, utilization, storage stages, requires accounting potential vulnerabilities. Therefore, resilience needs be considered along with development. This paper proposes decision-making framework evaluate by integrating indicators sustainability contributing factors. A holistic taxonomy performance first developed, followed qualitative assessment using novel Intuitionistic fuzzy Weighted Influence Nonlinear Gauge System (IFWINGS). The results highlighted that Regulation legislation, Government preparation, Crisis response budget are most critical in understudy infrastructure. comparative case study demonstrates practicality, capability, effectiveness proposed approach. suggest model can used areas.

Language: Английский

Citations

52

How to account artificial intelligence in human factor analysis of complex systems? DOI
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi

et al.

Process Safety and Environmental Protection, Journal Year: 2023, Volume and Issue: 171, P. 736 - 750

Published: Jan. 28, 2023

Language: Английский

Citations

45

A system theory based accident analysis model: STAMP-fuzzy DEMATEL DOI
Hossein Ebrahimi, Esmaeil Zarei,

Marzieh Ansari

et al.

Safety Science, Journal Year: 2024, Volume and Issue: 173, P. 106445 - 106445

Published: Feb. 6, 2024

Language: Английский

Citations

19

Advancing occupational and system safety in Industry 5.0: Effective HAZID, risk analysis frameworks, and human-AI interaction management DOI
Kamran Gholamizadeh, Esmaeil Zarei, Luca Gualtieri

et al.

Safety Science, Journal Year: 2025, Volume and Issue: 184, P. 106770 - 106770

Published: Jan. 5, 2025

Language: Английский

Citations

3

Expert Judgment and Uncertainty in Sociotechnical Systems Analysis DOI
Esmaeil Zarei, Mohammad Yazdi, Rosita Moradi

et al.

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 487 - 530

Published: Jan. 1, 2024

Language: Английский

Citations

13

A dynamic system‐based model for analyzing human factors: Enhanced AcciMap with spherical fuzzy dynamic Bayesian network approach DOI
Kosar Tohidizadeh, Esmaeil Zarei, Mehran Ghalenoei

et al.

Human Factors and Ergonomics in Manufacturing & Service Industries, Journal Year: 2024, Volume and Issue: 34(4), P. 338 - 363

Published: Feb. 21, 2024

Abstract In today's interconnected global economy, maritime trade is a pillar of prosperity, yet accidents loom as formidable challenge. The intricate nature these accidents, coupled with rapid technological advancements, necessitates the evolution systematic analysis methods. Conventional systemic approaches, while valuable, struggle to encapsulate web mutual and dynamic dependencies inherent in incidents. Furthermore, call for more quantitative support decision‐making ability account emergent factors has become increasingly imperative. This study aims analyze by introducing model. endeavour begins establishing an extended Accident Map‐based model, robust framework that unveils sophisticated accident causation preliminary action establishes groundwork integrating innovative Spherical Fuzzy Set, navigating complex landscape knowledge acquisition. subsequent phase charts transformative course mapping model onto Bayesian Network conduct forward backward analysis. essence lies its nature, allowing real‐time updates reflect evolving risk factors. approach validated through partial benchmark exercise, reality check, independent peer review, sensitivity can explore emerging contributing factors, reduce uncertainty, consider relationships between yield designing effective safety measures.

Language: Английский

Citations

9

Multiplex networks in resilience modeling of critical infrastructure systems: A systematic review DOI
Ying Wang, Ou Zhao, Limao Zhang

et al.

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 250, P. 110300 - 110300

Published: June 22, 2024

Language: Английский

Citations

9

Applying evidential reasoning extended SPAR-H modelling to analyse human reliability on crude oil tanker cargo operation DOI
Gizem Elidolu, Sung Il Ahn, Şükrü İlke Sezer

et al.

Safety Science, Journal Year: 2023, Volume and Issue: 164, P. 106169 - 106169

Published: April 20, 2023

Language: Английский

Citations

21

Analysing the Impact of Human Error on the Severity of Truck Accidents through HFACS and Bayesian Network Models DOI Creative Commons
Dwitya Harits Waskito, Ludfi Pratiwi Bowo,

Siti Hidayanti Mutiara Kurnia

et al.

Safety, Journal Year: 2024, Volume and Issue: 10(1), P. 8 - 8

Published: Jan. 8, 2024

Truck accidents are a prevalent global issue resulting in substantial economic losses and human lives. One of the principal contributing factors to these is driver error. While analysing error, it important thoroughly examine truck’s condition, drivers, external circumstances, trucking company, regulatory factors. Therefore, this study aimed illustrate application HFACS (Human Factor Classification System) causal behind unsafe behaviors drivers accident consequences. Bayesian Network (BN) analysis was adopted discern relationships between failure modes within framework. The result showed that violations had most significant influence on fatalities multiple-vehicle accidents. Furthermore, backward inference with BN mechanical system malfunction significantly impacts operating valuable for regulators companies striving mitigate occurrence truck proactively.

Language: Английский

Citations

7