A modified accident analysis and investigation model for the general aviation industry: Emphasizing on human and organizational factors

2018 ◽  
Vol 67 ◽  
pp. 1-15 ◽  
Author(s):  
Yujingyang Xue ◽  
Gui Fu
2022 ◽  
pp. 1477-1507
Author(s):  
Gargi Bhattacharjee ◽  
Sudip Kumar Das

Accidents and near-miss accidents in chemical industries are widespread. Most of the incidents occurred due to combinations of organizational and human factors. To identify the causes for an incident of an accident analysis is needed, because it reveals the possible causes behind the accidents. Accident analysis shows the human and organizational factors that support learning from the events. Literature review shows that human error plays an important role of accidents in process industries. The chapter discusses some case studies which are received very little media publicity and also no proper assessment. At first reports on the incidents were collected from newspapers and then the place was visited to conduct an interview with local people and present and past workers with the help of the PESO (M/S Petroleum and Explosive Safety Organization, Eastern Region, Govt. of India).


Author(s):  
Zeynep Sagir ◽  
Ertugrul Tacgin

The purpose of this paper is to compare three contemporary accident causation models, namely the Swiss Cheese, HFACS, and Fu (2018) Model-based on two accidents existing in the literature. The accidents reviewed are a mine explosion accident and an electrical plant accident. In this way, the validity of the models can be evaluated and weaknesses and strengths revealed. This study discussed the advantages and possible limitations of these models, and according to this discussion, all these models include human and organizational factors and have been found scientific and systematic. According to the results, Fu (2018) and HFACS are more modern, since they were developed based on Swiss Cheese. The product of this research will be a recommendation for safety investigators and accident inspectors which way to turn when choosing the most applicable accident analysis method


Author(s):  
Yalda Khashe ◽  
Soraya Levy

The two crashes of Boeing 737 Max aircrafts within the small span of half a year resulted in tremendous loss of life, money, and public trust in the regulatory systems responsible for ensuring passenger safety within increasingly automated aviation systems. However, these two instances of catastrophic system failure provide experts in the fields of human and organizational factors with the opportunity to transform the aviation industry, propelling it into a period of innovative automation technologies, replete with a groundbreaking reverence for system reliability, safety, and preparedness for failure. By applying the key principles of High Reliability Organization (HRO) to a retrospective analysis of the concurrent Boeing 737 Max crashes, we aim to identify relationships between defining HRO characteristics and preventative measures that Boeing, human workers, and regulatory agencies could have followed before and during the accidents’ occurrences.


Author(s):  
Gargi Bhattacharjee ◽  
Sudip Kumar Das

Accidents and near-miss accidents in chemical industries are widespread. Most of the incidents occurred due to combinations of organizational and human factors. To identify the causes for an incident of an accident analysis is needed, because it reveals the possible causes behind the accidents. Accident analysis shows the human and organizational factors that support learning from the events. Literature review shows that human error plays an important role of accidents in process industries. The chapter discusses some case studies which are received very little media publicity and also no proper assessment. At first reports on the incidents were collected from newspapers and then the place was visited to conduct an interview with local people and present and past workers with the help of the PESO (M/S Petroleum and Explosive Safety Organization, Eastern Region, Govt. of India).


2018 ◽  
pp. 482-487 ◽  
Author(s):  
Jean-François Vautier ◽  
Nicolas Dechy ◽  
Thierry Coye de Brunélis ◽  
Guillaume Hernandez ◽  
Richard Launay

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