A data-driven method for modeling human factors in maritime accidents by integrating DEMATEL and FCM based on HFACS: A case of ship collisions

Article Fisheries

Factors affecting marine ranching risk in China and their hierarchical relationships based on DEMATEL, ISM, and BN

Man Qin et al.

Summary: This study examined the risks of marine ranching and identified key risk factors to assist operators in making decisions to reduce risks.

AQUACULTURE (2022)

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Article Engineering, Marine

A hybrid model for marine accident analysis based on Bayesian Network (BN) and Association Rule Mining (ARM)

Emre Ozaydin et al.

Summary: In order to ensure maritime safety, it is necessary to study unreported maritime accidents. This study uses Bayesian network and Association Rule Mining methods to analyze data of unreported occupational accidents on Turkish fishing vessels. A network structure and accident occurrence rules are proposed to help analyze the latent factors and requirements for occupational accidents on fishing vessels.

OCEAN ENGINEERING (2022)

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Article Engineering, Marine

ACGAN and BN based method for downhole incident diagnosis during the drilling process with small sample data size

Chuan Wang et al.

Summary: This paper proposes a drilling incident diagnosis method based on ACGAN and BN, which can diagnose downhole incidents in real time and obtain their causes through data augmentation and parameter learning.

OCEAN ENGINEERING (2022)

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Article Environmental Studies

Factor analysis and countermeasure simulation on the socio-ecological environment risks during the development of coalbed methane: based on the DEMATEL and EFCM models

Ye Xue et al.

Summary: This paper addresses the importance of identifying influential factors and implementing risk prevention measures for the development of coalbed methane (CBM) industrialization to mitigate socio-ecological environmental risks. The study utilizes various methods like the triangular fuzzy number technique, DEMATEL analysis, and scenario simulation to establish correlation matrices, determine key indicators, and propose risk management strategies. The results demonstrate the effectiveness of the approach and suggest stage-specific measures for mitigating socio-ecological environmental risks during different phases of CBM development.

CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT (2022)

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Article Engineering, Marine

Application of fuzzy DEMATEL method for analysing of accidents in enclosed spaces onboard ships

Omer Soner

Summary: This study provides a robust and systematic approach for analyzing accidents in enclosed spaces onboard ships, emphasizing human error and weaknesses in organizational factors as the main causes. It identifies effective control measures to prevent accidents and enhance safety and sustainability in the shipping industry. Overall, the study contributes to safety management in the shipping industry.

OCEAN ENGINEERING (2021)

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Review Engineering, Industrial

The evolution of the HFACS method used in analysis of marine accidents: A review

Mehmet Kaptan et al.

Summary: The research analyzed the structures of HFACS used in marine accidents, identifying revisions and different levels of classification methods to facilitate the application of the original framework.

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS (2021)

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Article Engineering, Marine

Systems-Theoretic Accident Model and Processes (STAMP) approach to analyse socio-technical systems of ship allision in narrow waters

Bulut Ozan Ceylan et al.

Summary: The operating environment of merchant ships is dynamic and complex, involving human factors, hardware, and software interactions. Traditional accident analysis methods focusing on event chains are inadequate for analyzing complex maritime systems. A Systems Theoretic Accident Model and Process (STAMP) model is proposed for a wider view and more detailed analysis of accidents in maritime transportation.

OCEAN ENGINEERING (2021)

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Article Engineering, Industrial

Searching for the origins of the myth: 80% human error impact on maritime safety

Krzysztof Wrobel

Summary: There is a prevalent belief that humans are responsible for 80% of industrial accidents, including those in shipping, but there is limited concrete evidence to support this claim. Research shows that human errors indeed play a significant role in maritime accidents, but the widely accepted 80% contribution rate lacks strong substantiation.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

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Article Engineering, Industrial

Determining the error producing conditions in marine engineering maintenance and operations through HFACS-MMO

Cagatay Kandemir et al.

Summary: The study proposes marine engineering maintenance and operations specific error producing conditions (mmo-EPCs) based on ship accident data, extending the current shipboard operations human reliability analysis (SOHRA). The findings introduce a new method called marine maintenance and operations human reliability analysis (MMOHRA), which significantly alters the values of various error producing conditions compared to similar approaches, demonstrating its potential for improved safety practices in the marine engineering field.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

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Article Engineering, Marine

Risk analysis of break-in-two accident of ships using fuzzy DEMATEL method

Ali Cem Kuzu

Summary: A study introduced an alternative risk analysis approach based on 18 factors triggering ship structural damage to prevent break-in-two accidents of ships. The most critical factors in the cause group were cargo specification, competency of the crew involved in cargo handling, compliance with international rules, regulations, and guidelines, as well as heavy weather. Meanwhile, in the effect group, cargo stowage and operational plan, ship's age, hull and structure condition, and complying with the ship's planned maintenance system were identified as the most highly significant factors.

OCEAN ENGINEERING (2021)

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Article Engineering, Marine

Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach

Muhammet Aydin et al.

Summary: The paper focuses on validating risk analysis in the maritime industry using Bayesian Network method under fuzzy logic environment to improve accuracy. Through validation and sensitivity analyses under various conditions, the risk modelling of ship collision in narrow waters is tested.

OCEAN ENGINEERING (2021)

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Article Engineering, Marine

Impact analysis of external factors on human errors using the ARBN method based on small-sample ship collision records

Guorong Li et al.

Summary: The study established an Association Rule Bayesian Networks (ARBN) method to investigate the impacts of external factors on human errors. Results revealed that environmental factors and ship factors have significant effects on the occurrence probability of human errors. Large ships are more likely to occur judgment/operation errors under high-speed situations.

OCEAN ENGINEERING (2021)

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Article Public, Environmental & Occupational Health

Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network

Weiliang Qiao et al.

RISK ANALYSIS (2020)

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Article Green & Sustainable Science & Technology

Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities

Konstantinos Papageorgiou et al.

SUSTAINABILITY (2020)

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Article Engineering, Industrial

A data-based comparison of BN-HRA models in assessing human error probability: An offshore evacuation case study

Shokoufeh Abrishami et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Marine

Determining the most influential human factors in maritime accidents: A data-driven approach

Andrea Coraddu et al.

OCEAN ENGINEERING (2020)

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Article Engineering, Industrial

Using grounded theory and mental modeling to understand influences on electricians' safety decisions: Toward an integrated theory of why electricians work energized

Laurel C. Austin et al.

SAFETY SCIENCE (2020)

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Article Engineering, Marine

A hybrid model for human-factor analysis of engine-room fires on ships: HFACS-PV&FFTA

Songul Sarialioglu et al.

OCEAN ENGINEERING (2020)

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Article Engineering, Marine

Research on human factors cause chain of ship accidents based on multidimensional association rules

Dejun Chen et al.

OCEAN ENGINEERING (2020)

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Article Ergonomics

Analysis of human and organizational factors that influence mining accidents based on Bayesian network

Mostafa Mirzaei Aliabadi et al.

INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS (2020)

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Article Engineering, Industrial

Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network

Shiqi Fan et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Industrial

Assessment of collisions and grounding accidents with human factors analysis and classification system (HFACS) and statistical methods

Umut Yildirim et al.

SAFETY SCIENCE (2019)

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Article Computer Science, Artificial Intelligence

An integrated Taguchi loss function-fuzzy cognitive map-MCGP with utility function approach for supplier selection problem

Arash Alizadeh et al.

NEURAL COMPUTING & APPLICATIONS (2019)

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Article Engineering, Industrial

Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

Mingyang Zhang et al.

SAFETY SCIENCE (2019)

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Article Engineering, Industrial

Understanding railway operational accidents using network theory

Liu Jintao et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)

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Article Engineering, Industrial

Assessing the impact of processes on the Occupational Safety and Health Management System's effectiveness using the fuzzy cognitive maps approach

Anna Sklad

SAFETY SCIENCE (2019)

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Article Engineering, Industrial

Effectiveness assessment of ship navigation safety countermeasures using fuzzy cognitive maps

Lei Wang et al.

SAFETY SCIENCE (2019)

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Article Engineering, Chemical

Safety analysis of process systems using Fuzzy Bayesian Network (FBN)

Esmaeil Zarei et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2019)

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Article Engineering, Chemical

A hybrid model for human factor analysis in process accidents: FBN-HFACS

Esmaeil Zarei et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2019)

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Article Management

The hybrid systems method integrating human factors analysis and classification system and grey relational analysis for the analysis of major coal mining accidents

Yan Feng et al.

SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE (2019)

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Article Engineering, Industrial

Human error assessment of oil tanker grounding

Shuen-Tai Ung

SAFETY SCIENCE (2018)

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Article Engineering, Industrial

Fuzzy cognitive maps for adverse drug event risk management

M. Bevilacqua et al.

SAFETY SCIENCE (2018)

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Article Engineering, Industrial

A phase of comprehensive research to determine marine-specific EPC values in human error assessment and reduction technique

Emre Akyuz et al.

SAFETY SCIENCE (2016)

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Article Engineering, Industrial

Classification of human errors in grounding and collision accidents using the TRACEr taxonomy

A. Graziano et al.

SAFETY SCIENCE (2016)

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Article Engineering, Chemical

A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers

Emre Akyuz et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2015)

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Article Engineering, Industrial

Use of HFACS-FCM in fire prevention modelling on board ships

Omer Soner et al.

SAFETY SCIENCE (2015)

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Article Engineering, Industrial

Utilisation of cognitive map in modelling human error in marine accident analysis and prevention

Emre Akyuz et al.

SAFETY SCIENCE (2014)

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Article Engineering, Industrial

Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps: A petrochemical plant

A. Azadeh et al.

SAFETY SCIENCE (2014)

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Article Ergonomics

Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS

Christine Chauvin et al.

ACCIDENT ANALYSIS AND PREVENTION (2013)

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Article Engineering, Industrial

Systems-based accident analysis methods: A comparison of Accimap, HFACS, and STAMP

Paul M. Salmon et al.

SAFETY SCIENCE (2012)

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Article Computer Science, Artificial Intelligence

Analyzing the performance of fuzzy cognitive maps with non-linear hebbian learning algorithm in predicting autistic disorder

Arthi Kannappan et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

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Article Engineering, Industrial

A risk-based modelling approach to enhance shipping accident investigation

Metin Celik et al.

SAFETY SCIENCE (2010)

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Article Computer Science, Artificial Intelligence

Benchmarking main activation functions in fuzzy cognitive maps2

Salvador Bueno et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

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Article Ergonomics

Analytical HFACS for investigating human errors in shipping accidents

Metin Celik et al.

ACCIDENT ANALYSIS AND PREVENTION (2009)

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Article Engineering, Industrial

A new accident model for engineering safer systems

N Leveson

SAFETY SCIENCE (2004)

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Article Business, Finance

Trade in international maritime services: How much does policy matter?

C Fink et al.

WORLD BANK ECONOMIC REVIEW (2002)

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A data-driven method for modeling human factors in maritime accidents by integrating DEMATEL and FCM based on HFACS: A case of ship collisions

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