scholarly journals On the Influence of Human Factors on Safety of Remotely-Controlled Merchant Vessels

2021 ◽  
Vol 11 (3) ◽  
pp. 1145
Author(s):  
Krzysztof Wróbel ◽  
Mateusz Gil ◽  
Chong-Ju Chae
Keyword(s):  
Human Factors ◽  
Human Factor ◽  
Potential Influence ◽  
General Belief ◽  
Causal Factors ◽  
Physiological Conditions ◽  
Factors Analysis ◽  
Important Barrier ◽  
Human Operators ◽  
Expert Study

With numerous efforts undertaken by both industry and academia to develop and implement autonomous merchant vessels, their safety remains an utmost priority. One of the modes of their operation which is expected to be used is a remote control. Therein, some, if not all, decisions will be made remotely by human operators and executed locally by a vessel control system. This arrangement incorporates a possibility of a human factor occurrence. To this end, a variety of factors are known in the literature along with a complex network of mutual relationships between them. In order to study their potential influence on the safety of remotely-controlled merchant vessels, an expert study has been conducted using the Human Factors Analysis and Classification System-Maritime Accidents (HFACS–MA) framework. The results indicate that the most relevant for the safety of this prospective system is to ensure that known problems are properly and timely rectified and that remote operators maintain their psycho- and physiological conditions. The experts elicited have also assigned higher significance to the causal factors of active failures than latent failures, thus indicating a general belief that operators’ actions represent the final and the most important barrier against accident occurrence.

An Application of the HFACS Method to Aviation Accidents in Africa

2016 ◽  
Vol 6 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Isaac Munene
Keyword(s):  
Human Factors ◽  
Physical Environment ◽  
Human Factor ◽  
Flight Training ◽  
African Countries ◽  
Causal Factors ◽  
Aviation Accidents ◽  
Factors Analysis ◽  
Adverse Weather ◽  
Decision Errors

Abstract. The Human Factors Analysis and Classification System (HFACS) methodology was applied to accident reports from three African countries: Kenya, Nigeria, and South Africa. In all, 55 of 72 finalized reports for accidents occurring between 2000 and 2014 were analyzed. In most of the accidents, one or more human factors contributed to the accident. Skill-based errors (56.4%), the physical environment (36.4%), and violations (20%) were the most common causal factors in the accidents. Decision errors comprised 18.2%, while perceptual errors and crew resource management accounted for 10.9%. The results were consistent with previous industry observations: Over 70% of aviation accidents have human factor causes. Adverse weather was seen to be a common secondary casual factor. Changes in flight training and risk management methods may alleviate the high number of accidents in Africa.

Using HFACS-Healthcare to Identify Systemic Vulnerabilities During Surgery

2018 ◽  
Vol 33 (6) ◽  
pp. 614-622 ◽  
Author(s):  
Tara N. Cohen ◽  
Sarah E. Francis ◽  
Douglas A. Wiegmann ◽  
Scott A. Shappell ◽  
Bruce L. Gewertz
Keyword(s):  
Patient Safety ◽  
Human Factors ◽  
Reporting System ◽  
Near Miss ◽  
Causal Factors ◽  
Event Reporting ◽  
Near Misses ◽  
Process Improvements ◽  
Organizational Influences ◽  
Factors Analysis

The Human Factors Analysis and Classification System for Healthcare (HFACS-Healthcare) was used to classify surgical near miss events reported via a hospital’s event reporting system over the course of 1 year. Two trained analysts identified causal factors within each event narrative and subsequently categorized the events using HFACS-Healthcare. Of 910 original events, 592 could be analyzed further using HFACS-Healthcare, resulting in the identification of 726 causal factors. Most issues (n = 436, 60.00%) involved preconditions for unsafe acts, followed by unsafe acts (n = 257, 35.39%), organizational influences (n = 27, 3.72%), and supervisory factors (n = 6, 0.82%). These findings go beyond the traditional methods of trending incident data that typically focus on documenting the frequency of their occurrence. Analyzing near misses based on their underlying contributing human factors affords a greater opportunity to develop process improvements to reduce reoccurrence and better provide patient safety approaches.

scholarly journals ANALISIS KECELAKAAN KERJA DENGAN MENGGUNAKAN METODE HFACS PADA PT. X

2020 ◽  
Vol 4 (1) ◽  
pp. 79-90
Author(s):  
Ratna Ayu Ratriwardhani
Keyword(s):  
Resource Management ◽  
Human Factors ◽  
Classification System ◽  
Human Error ◽  
Human Factor ◽  
Crew Resource Management ◽  
Swiss Cheese ◽  
Health Safety ◽  
Factors Analysis ◽  
Safety Officer

PT. X merupakan perusahaan yang bergerak di bidang fabrikasi dan manufaktur penghasil boiler yang terletak di Surabaya Jawa Timur. Sesuai dengan data laporan kecelakaan yang didokumentasikan oleh Environment Health Safety Officer (EHS) PT. X selama tahun 2015-2019 terdapat 50 kasus kecelakaan. Dari beberapa kasus yang telah terdokumentasi oleh EHS tersebut, terdapat beragam penyebab, ada beberapa kasus kecelakaan yang terjadi berulang kali dengan penyebab yang hampir sama. Bahkan telah dilakukan investigasi setelah terjadinya kecelakaan namun kecelakaan masih saja berulang. Hal ini membuktikan bahwa terdapat faktor lain yang tidak teridentifikasi atau adanya rekomendasi yang tidak efektif dari analisa yang telah dilakukan. Metode Human Factors Analysis and Classification System (HFACS) adalah suatu alat analisa kecelakaan yang digunakan untuk  menganalisa  suatu  kecelakaan  pada  aspek  Human  Factor.  Metode  ini dikembangkan oleh Wiegmann dan Shappell pada tahun 2003. Metode ini didasarkan oleh model Swiss Cheese. Hasil analisis kecelakaan menggunakan metode HFACS, telah dibuktikan bahwa kecelakaan yang terjadi dikarenakan adanya kegagalan pada tindakan tidak aman yaitu kesalahan yang terjadi karena skill, kesalahan pengambilan keputusan, salah persepsi, pelanggaran yang dilakukan secara rutin, pelanggaran luar biasa. Berikutnya, kegagalan pada pre kondisi untuk tindakan tidak aman yaitu lingkungan fisik, lingkungan kerja (teknologi), crew resource management, mental yang merugikan perusahaan, fisik yang merugikan perusahaan. Selanjutnya, pada tahapan pengawasan yang membahayakan yaitu pengawasan yang tidak memadai, pengawasan yang gagal untuk mengetahui masalah, pelanggaran pengawasan. Tahapan yang terakhir adalah organisasi yaitu sumber daya manajemen, dan proses dalam organisasi. Hasil uji koefisien kontingensi terdapat asosiasi pada tahapan sumber daya manajemen dan pelanggaran pengawasan. Hasil uji kontingensi menunjukkan bahwa pada kasus ini hampir semua kegagalan mempengaruhi kegagalan di tingkat lain. Dengan demikian maka sebaiknya tidak hanya manajemen yang dikontrol, melainkan semua elemen yang berpengaruh harus tetap dikontrol sehingga dapat mencegah terjadinya kecelakaan yang disebabkan oleh human error.

scholarly journals Ship accident prevention under organizational influences on the ship operation by using gap analysis

2019 ◽  
Author(s):  
Dwi Antoro ◽  
Bambang Eka W ◽  
Antoni Arif Priadi
Keyword(s):  
Human Factors ◽  
Human Factor ◽  
Gap Analysis ◽  
Accident Prevention ◽  
Analysis Method ◽  
Prevention Strategies ◽  
Organizational Policies ◽  
Organizational Influences ◽  
Factors Analysis ◽  
Ship Operation

By using Human Factors Analysis and Classification System (HFACS), the identification of human factor could be analyzed and classified to find out some prevention actions against ship accident. The human factors may play an important role in ship accident as the consequences of the ship operation is the risk that can potentially happen. One of the layers of HFACS is the organization influences which consist of factors such as human resources, organization climate, and policies. The objective of this research was to identify and to explore the perception and the expectation of the ship officer related to organizational influences by applying gap analysis method. The questionnaire consisted of 28 questions divided into three categories. The result showed that the policies factor has higher gap compared with the others factors. The result indicated that the shipping company need to pay more attention to the condition of organizational policies before recruiting new crews, as well as the policies related to the monitoring while they are on board and after they return home. Further research on similar method on others layers of HFACS need to be carried out in order to obtain more detailed descriptions on ship accident prevention strategies.

A Lesson on Human Factors in Airway Management Learnt From the Death of George Washington

2020 ◽  
Vol 163 (5) ◽  
pp. 1000-1002
Author(s):  
Ahmad K. Abou-Foul
Keyword(s):  
Human Factors ◽  
Airway Management ◽  
Situational Awareness ◽  
Resistance To Change ◽  
Change Leadership ◽  
Acute Epiglottitis ◽  
George Washington ◽  
Leadership Model ◽  
Factors Analysis ◽  
Human Factors Analysis

On December 14, 1799, 3 prominent physicians—Craik, Brown, and Dick—gathered to examine America’s first president, George Washington. He was complaining of severe throat symptoms and was being treated with bloodletting, blistering, and enemas. Dick advised performing an immediate tracheotomy to secure the airway. Both Craik and Brown were not keen on trying tracheotomy and overruled that proposal. Washington was not involved in making that decision. He most likely had acute epiglottitis that proved to be fatal at the end. If Dick had prevailed, a tracheotomy could have saved Washington’s life. Human factors analysis of these events shows that his physicians were totally fixated on repeating futile treatments and could not comprehend the need for a radical alternative, like tracheotomy. That was aggravated by an impaired situational awareness and significant resistance to change. Leadership model was also based on hierarchy instead of competency, which might have also contributed to Washington’s death.

Evaluating the Reliability of the Human Factors Analysis and Classification System

2015 ◽  
Vol 86 (8) ◽  
pp. 728-735 ◽  
Author(s):  
Tara N. Cohen ◽  
Douglas A. Wiegmann ◽  
Scott A. Shappell
Keyword(s):  
Human Factors ◽  
Classification System ◽  
Factors Analysis ◽  
Human Factors Analysis

A Human Factors Analysis of an EMS Crew's Exposure to Carbon Monoxide

2012 ◽  
Vol 27 (3) ◽  
pp. 297-298
Author(s):  
Matthew J. Levy ◽  
Kevin G. Seaman ◽  
J. Lee Levy
Keyword(s):  
Carbon Monoxide ◽  
Human Factors ◽  
Safety Data ◽  
Error Reduction ◽  
Factors Analysis ◽  
Safety Incident ◽  
Prehospital Emergency ◽  
Ambulance Crew ◽  
Incident Analysis ◽  
Human Factors Analysis

AbstractThe safety of personnel and resources is considered to be a cornerstone of prehospital Emergency Medical Services (EMS) operations and practice. However, barriers exist that limit the comprehensive reporting of EMS safety data. To overcome these barriers, many high risk industries utilize a technique called Human Factors Analysis (HFA) as a means of error reduction. The goal of this approach is to analyze processes for the purposes of making an environment safer for patients and providers. This report describes an application of this approach to safety incident analysis following a situation during which a paramedic ambulance crew was exposed to high levels of carbon monoxide.Levy MJ, Seaman KG, Levy JL. A human factors analysis of an EMS crew's exposure to carbon monoxide. Prehosp Disaster Med. 2012;27(3):1-2.

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