scholarly journals Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents

2021 ◽  
Vol 11 (19) ◽  
pp. 9008
Author(s):  
Chuan Lin ◽  
Qifeng Xu ◽  
Yifan Huang
Keyword(s):  
Risk Factors ◽  
Human Factors ◽  
Hybrid Method ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Organizational Factors ◽  
Risk Level ◽  
Accident Risk ◽  
Fuzzy Aggregation ◽  
Failure Probabilities

Human and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the HOFs in EMAs, a hybrid method including the Human Factors Analysis and Classification System (HFACS) and fuzzy fault tree analysis (FFTA) was applied to EMAs for the first time in the paper. HFACS is used to identify and classify the HOFs with 135 accidents, reorganized as basic events (BEs), intermediate events (IEs), and top event (TE), and develop the architecture of fault tree (FT). Fuzzy aggregation is employed to address experts’ expressions and obtain the failure probabilities of the BEs and the minimal cut sets (MCSs) of the FT. The approach generates BEs failure probabilities without reliance on quantitative historical failure statistics of EMAs via qualitative records processing. The FFTA–HFACS model is applied for quantitative analysis of the probability of failure of electrical mishaps and the interaction between accident risk factors. It can assist professionals in deciding whether and where to take preventive or corrective actions and assist in knowledgeable decision-making around the electric operation and maintenance process. Finally, applying this hybrid method to EMAs, the results show that the probability of an EMAs is 1.0410 × 10−2, which is a risk level that is likely to occur and must be controlled. Two of the most important risk factors are habitual violations and supervisory violation; a combination of risk factors of inadequate work preparation and paralysis, and irresponsibility on the part of employees are also frequent errors.

A fuzzy fault tree analysis based risk assessment approach for enterprise resource planning projects

2018 ◽  
Vol 35 (5) ◽  
pp. 1115-1141 ◽  
Author(s):  
Mina Moeinedini ◽  
Sadigh Raissi ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Risk Factors ◽  
Enterprise Resource Planning ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Resource Planning ◽  
Successful Implementation ◽  
Tree Analysis ◽  
Content Type ◽  
Cause And Effect ◽  
Fuzzy Fault Tree Analysis

Purpose Enterprise resource planning (ERP) is assumed as a commonly used solution in order to provide an integrated view of core business processes, including product planning, manufacturing cost, delivery, marketing, sales, inventory management, shipping and payment. Selection and implementation of a suitable ERP solution are not assumed a trivial project because of the challenging nature of it, high costs, long-duration of installation and customization, as well as lack of successful benchmarking experiences. During the ERP projects, several risk factors threat the successful implementation of the project. These risk factors usually refer to different phases of the ERP projects including purchasing, pilot implementation, teaching, install, synchronizing, and movement from old systems toward new ones, initiation and utilization. These risk factors have dominant effects on each other. The purpose of this paper is to explore the hybrid reliability-based method is proposed to assess the risk factors of ERP solutions. Design/methodology/approach In this regard, the most important risk factors of ERP solutions are first determined. Then, the interactive relations of these factors are recognized using a graph based method, called interpretive structural modeling. The resultant network of relations between these factors initiates a new viewpoint toward the cause and effect relations among risk factors. Afterwards, a fuzzy fault tree analysis is proposed to calculate Failure Fuzzy Possibility (FFP) for the basic events of the fault tree leading to a quantitative evaluation of risk factors. Findings The whole proposed method is applied in a well-known Iranian foodservice distributor as a case study. The most impressive risk factors are identified, classified and prioritized. Moreover, the cause and effect diagram between the risk factors are identified. So, the ERP leader can plan a low-risk project and increase the chance of success. Originality/value According to the authors’ best knowledge, such approach was not reported before in the literature of ERP risk assessments.

scholarly journals USULAN PERBAIKAN SUMBER BAHAYA PADA AREA ASSEMBLY 2 DENGAN METODE HAZARD AND OPERABILITY STUDY DAN FAULT TREE ANALYSIS (STUDI KASUS: PT. ASTRA DAIHATSU MOTOR)

2019 ◽  
Vol 14 (2) ◽  
pp. 111
Author(s):  
Singgih Saptadi ◽  
Fahmi Ardi
Keyword(s):  
Manufacturing Industry ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Value Added ◽  
Risk Level ◽  
Tree Analysis ◽  
Industrial Labor ◽  
Medium Risk ◽  
Level 3 ◽  
Hazard Sources

Perkembangan industri di Indonesia, khususnya pada industri manufaktur, mengalami kemajuan yang cukup pesat. Populasi tenaga kerja industri bertambah seiring perkembangan industri dan nilai tambah industri nasional yang meningkat dengan jumlah sebanyak 30,992 orang pada tahun 2018, meningkat 17,92% dibanding tahun 2017. Namun, masalah dan penanggulangan pada kasus kecelakaan kerja masih kurang diperhatikan, dibarengi dengan jumlah kecelakaan kerja yang masih tinggi, tidak terkecuali di PT. Astra Daihatsu Motor. Maka dari itu penelitian dilakukan di area Assembly 2 di area pabrik PT. Astra Daihatsu Motor di kawasan Sunter, Jakarta, dengan metode Hazard and Operability Study (HAZOP) dan Fault Tree Analysis (FTA) untuk mengetahui potensi bahaya secara teliti serta mengungkap unsur-unsur yang berpotensi berbahaya dalam sistem. Pada penelitian ini ditemukan sebanyak 17 sumber bahaya dengan 2 sumber termasuk dalam level risiko tinggi, 3 sumber level risiko sedang, dan 12 sumber level risiko rendah. Analisis deduktif dengan Fault Tree Analysis didapatkan hasil dengan munculnya 5 basic event dari Thinner dan 4 basic event dari Lampu Heater dengan rekomendasi perbaikan pada aspek desain, konstruksi, dan pelatihan handling yang baik pada material tersebut. Abstract[Proposed Improvement of Hazard Sources In The Area of Assembly 2 With The Hazard And Operability Study And Fault Tree Analysis (Case Study: PT. Astra Daihatsu Motor)]The development of industry in Indonesia, especially in the manufacturing industry, has experienced rapid progress. The industrial labor population increased as industry development and national industrial value added increased by as many as 30,992 people in 2018, an increase of 17.92% compared to 2017. However, the prevention and countermeasures in cases of workplace accidents are still not considered as priority, including in PT. Astra Daihatsu Motor. Therefore a research has been conducted in the Assembly 2 area at the PT. Astra Daihatsu Motor in the Sunter area, Jakarta, using the applicability of Hazard and Operability Study (HAZOP) method and the Fault Tree Analysis (FTA) method to carefully identify potential hazards and reveal potentially dangerous elements in the system. In this study 17 sources of hazards were found with 2 sources including high risk level, 3 medium risk level sources, and 12 low risk level sources.  Deductive analysis with Fault Tree Analysis is obtained, namely 5 basic events from Thinner and 4 basic events from the Heater Lamps with recommendations on aspects of design, construction, and handling training in the material.Keywords: work accident; hazard and operability; risk level; fault tree analysis

scholarly journals Formal Safety Assessment of a Marine Seismic Survey Vessel Operation, Incorporating Risk Matrix and Fault Tree Analysis

2020 ◽  
Vol 19 (2) ◽  
pp. 155-172
Author(s):  
Gregory Asuelimen ◽  
Eduardo Blanco-Davis ◽  
Jin Wang ◽  
Zaili Yang ◽  
Dante Benjamin Matellini
Keyword(s):  
Risk Factors ◽  
Safety Assessment ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Seismic Survey ◽  
Risk Matrix ◽  
Tree Analysis ◽  
Formal Safety Assessment ◽  
Seismic Surveying ◽  
Marine Seismic

Abstract In maritime safety research, risk is assessed usually within the framework of formal safety assessment (FSA), which provides a formal and systematic methodology to improve the safety of lives, assets, and the environment. A bespoke application of FSA to mitigate accidents in marine seismic surveying is put forward in this paper, with the aim of improving the safety of seismic vessel operations, within the context of developing an economically viable strategy. The work herein takes a close look at the hazards in North Sea offshore seismic surveying, in order to identify critical risk factors, leading to marine seismic survey accidents. The risk factors leading to undesirable events are analysed both qualitatively and quantitatively. A risk matrix is introduced to screen the identified undesirable events. Further to the screening, Fault Tree Analysis (FTA) is presented to investigate and analyse the most critical risks of seismic survey operation, taking into account the lack of historical data. The obtained results show that man overboard (MOB) event is a major risk factor in marine seismic survey operation; lack of training on safe work practice, slippery deck as a result of rain, snow or water splash, sea state affecting human judgement, and poor communication are identified as the critical risk contributors to the MOB event. Consequently, the risk control options are focused on the critical risk contributors for decision-making. Lastly, suggestions for the introduction and development of the FSA methodology are highlighted for safer marine and offshore operations in general.

scholarly journals Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model

2018 ◽  
Vol 5 (10) ◽  
pp. 180915 ◽  
Author(s):  
Qingwei Xu ◽  
Kaili Xu ◽  
Xiwen Yao ◽  
Jinjia Zhang ◽  
Ben Wang
Keyword(s):  
Safety Assessment ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Sand Casting ◽  
Risk Level ◽  
Foundry Sand ◽  
Tree Analysis ◽  
Preventative Measures ◽  
Explosion Accidents ◽  
Bow Tie

Sand casting operations, though commonplace, pose a significant threat of explosion accidents. This paper presents a novel sand casting safety assessment technique based on fault tree analysis, Heinrich accident triangle, hazard and operability–layer of protection analysis (HAZOP–LOPA) and bow tie model components. Minimal cut sets and minimal path sets are first determined based on fault tree analysis, then the frequency of sand casting explosion accidents is calculated based on the Heinrich accident triangle. Third, the risk level of venting quality can be reduced by adopting HAZOP–LOPA; the residual risk level of venting quality remains excessive even after adopting two independent protective layers. The bow tie model is then adopted to determine the causes and consequences of venting quality. Five preventative measures are imposed to enhance the venting quality of foundry sand accompanied by 16 mitigative safety measures. Our results indicate that the risk attributable to low foundry sand venting quality can be minimized via bow tie analysis.

scholarly journals Risk Analysis of Tunnel Water and Mud Inrush Using Interpretive Structural Modeling and Fault Tree

2022 ◽  
Author(s):  
Min Han ◽  
Teng Xia ◽  
Maoxin Su ◽  
Yiguo Xue
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Structural Modeling ◽  
Geological Structure ◽  
Geological Hazard ◽  
Analysis Model ◽  
Interpretive Structural Modeling ◽  
Water And Mud Inrush

Abstract Water and mud inrush is a common geological hazard in tunnel construction. Risk analysis of tunnel water and mud inrush has always been an important subject. In order to avoid the geological hazard, this paper presents a risk analysis model of tunnel water and mud inrush. The model combines the interpretive structural modeling method (ISM) and fault tree analysis (FTA). Relying on the Qinyu tunnel in the Weiwu expressway project, water and mud inrush risk factors are obtained by using ISM. Fundamental risk factors include formation lithology, attitude of stratum, strata combination, topography and geomorphology, geological structure and weather. ISM core risk factors are used as FTA basic events. Fuzzy importance of FTA basic events is obtained by using fuzzy interval calculation. The results show that geological structure is the primary risk factor causing Qinyu tunnel water and mud inrush. The model achieves qualitative and quantitative analysis of tunnel water and mud inrush. It accurately determines the main factors affecting the tunnel water and mud inrush, which is conducive to accident prevention.

scholarly journals Crash Risk Evaluation and Crash Severity Pattern Analysis for Different Types of Urban Junctions: Fault Tree Analysis and Association Rules Approaches

2019 ◽  
Vol 2673 (1) ◽  
pp. 403-416 ◽  
Author(s):  
Peijie Wu ◽  
Xianghai Meng ◽  
Li Song ◽  
Wenze Zuo
Keyword(s):  
Risk Factors ◽  
Association Rules ◽  
Risk Evaluation ◽  
Pattern Analysis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Crash Risk ◽  
Crash Severity ◽  
Tree Analysis ◽  
Risk Levels

Urban junctions usually present significant safety concerns, and the majority of all crashes in urban areas occur in or near junctions. Factors contributing to crash severity at junctions have been explored, but crash risk levels and crash severity patterns of different junction types have hardly been investigated. In order to fill this gap, this study analyzed the safety performance of six junction types and the factors contributing to crash severity, in order to assist city transportation authorities to implement effective countermeasures. Fault tree analysis (FTA) was applied for the risk evaluation of urban junctions and association rules (AR) algorithm was employed for the crash severity pattern analysis based on data from the U.K. STATS19 database from 2012 to 2016. Overall, four types of urban junctions with high crash risk level and over 4,000 AR contributing to crash severity are identified in the present paper. The results show that: (a) roundabouts and mini-roundabouts have the lowest fatality and casualty rates while T-junctions or staggered junctions and crossroads have the highest crash risk levels; (b) FTA may produce inaccurate outcomes because of incorrect logic gates, but AR can generate real potential relationships between crash severity and risk factors; (c) crash severity patterns are quite complex and the interdependence between risk factors is different for each junction type; (d) risk factors such as male driver, no physical crossing facilities within 50 meters, and give way or uncontrolled junction are common in high-risk junctions at night.

scholarly journals Analysis Model of Risk Factors of Urban Bus Operation Based on FTA-CLR

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jianfeng Xi ◽  
Yunhe Zhao ◽  
Tongqiang Ding ◽  
Jian Tian ◽  
Lianjie Li
Keyword(s):  
Risk Factors ◽  
Goodness Of Fit ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Economic Loss ◽  
Analysis Model ◽  
Goodness Of Fit Test ◽  
High Risk Factors ◽  
Accident Data ◽  
Urban Bus

In order to comprehensively analyze the risk factors and accurately find the high risk factors related to accidents, an analysis model of risk factors of urban bus operation is proposed, in which the advantages of the structural analysis of the Fault Tree Analysis (FTA) and the correlation analysis of the Cumulative Logistic Regression (CLR) are combined. Firstly, based on the accident data in Northeast China, FTA is used to compile the urban bus operation fault tree. In the fault tree, 16 bus operation risk factors are classified, while the risk factors are sorted and compared from three aspects: structural importance, probability importance, and critical importance. And then, the 11 higher risk factors are selected according to the discriminant principle. Secondly, bus operation accidents are divided into fatal accidents, injury accidents, and major economic loss accidents. The CLR model is used to fit the much higher risk factors that lead to urban bus operation accidents from above 11 higher risk factors. Finally, the scientific rationality and applicability of the model are verified, through the goodness of fit test and the comparison test with the actual probability of occurrence.

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