Safety, Reliability, Human Factors, and Human Error Basics

2017 ◽  
pp. 33-62
Author(s):  
B.S. Dhillon
Keyword(s):  
Human Factors ◽  
Human Error

Human Factors to Minimize the Human Error and Improving Patient Safety

2011 ◽  
Vol 1 (11) ◽  
pp. 82-86
Author(s):  
Sanjay Saproo ◽  
◽  
Dr. Sanjeev Bansal ◽  
Dr. Amit Kumar Pandey
Keyword(s):  
Patient Safety ◽  
Human Factors ◽  
Human Error

scholarly journals THE FUTURE OF PASSENGER AIR TRANSPORT – VERY LARGE AIRCRAFT AND OUT KEY HUMAN FACTORS AFFECTING THE OPERATION AND SAFETY OF PASSENGER AIR TRANSPORT

2017 ◽  
Vol 12 ◽  
pp. 104
Author(s):  
Petra Skolilova
Keyword(s):  
Human Factors ◽  
Human Error ◽  
Operating Cost ◽  
Aircraft Design ◽  
Air Transport ◽  
Final Decision ◽  
Factors Affecting ◽  
Fuel Burn ◽  
The Future ◽  
The Impact

The article outlines some human factors affecting the operation and safety of passenger air transport given the massive increase in the use of the VLA. Decrease of the impact of the CO2 world emissions is one of the key goals for the new aircraft design. The main wave is going to reduce the burned fuel. Therefore, the eco-efficiency engines combined with reasonable economic operation of the aircraft are very important from an aviation perspective. The prediction for the year 2030 says that about 90% of people, which will use long-haul flights to fly between big cities. So, the A380 was designed exactly for this time period, with a focus on the right capacity, right operating cost and right fuel burn per seat. There is no aircraft today with better fuel burn combined with eco-efficiency per seat, than the A380. The very large aircrafts (VLAs) are the future of the commercial passenger aviation. Operating cost versus safety or CO2 emissions versus increasing automation inside the new generation aircraft. Almost 80% of the world aircraft accidents are caused by human error based on wrong action, reaction or final decision of pilots, the catastrophic failures of aircraft systems, or air traffic control errors are not so frequent. So, we are at the beginning of a new age in passenger aviation and the role of the human factor is more important than ever.

A Comparison of Rule-Based and Machine Learning Models for Classification of Human Factors Aviation Safety Event Reports

2020 ◽  
Vol 64 (1) ◽  
pp. 129-133
Author(s):  
Katherine Darveau ◽  
Daniel Hannon ◽  
Chad Foster
Keyword(s):  
Machine Learning ◽  
Human Factors ◽  
Human Error ◽  
Data Science ◽  
Aircraft Engine ◽  
Rule Based ◽  
Root Cause ◽  
Textual Data ◽  
Safety Event

There is growing interest in the study and practice of applying data science (DS) and machine learning (ML) to automate decision making in safety-critical industries. As an alternative or augmentation to human review, there are opportunities to explore these methods for classifying aviation operational events by root cause. This study seeks to apply a thoughtful approach to design, compare, and combine rule-based and ML techniques to classify events caused by human error in aircraft/engine assembly, maintenance or operation. Event reports contain a combination of continuous parameters, unstructured text entries, and categorical selections. A Human Factors approach to classifier development prioritizes the evaluation of distinct data features and entry methods to improve modeling. Findings, including the performance of tested models, led to recommendations for the design of textual data collection systems and classification approaches.

The Prevention of Laparoscopic Bile Duct Injuries: An Analysis of 300 Cases of from a Human Factors and Cognitive Psychology Perspective

2007 ◽  
Vol 51 (11) ◽  
pp. 617-620 ◽  
Author(s):  
Lygia Stewart ◽  
Lawrence W. Way
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Bile Duct ◽  
Human Factors ◽  
Bile Duct Injury ◽  
Human Error ◽  
Perceptual Illusion ◽  
Bile Duct Injuries ◽  
Psychology Perspective ◽  
Cause Of Error ◽  
Key Steps

Application of human factors concepts to high-risk activities has facilitated reduction in human error. With introduction of laparoscopic cholecystectomy, the incidence of bile duct injury increased. Seeking ideas for prevention, we analyzed 300 laparoscopic bile duct injuries within the framework of human error analysis. The primary cause of error (97%) was a visual perceptual illusion. The laparoscopic environment contributed to 75% of injuries, poor visibility 22%. Most injuries involved deliberate major bile duct transection due to misperception of the anatomy. This illusion was so compelling that the surgeon usually did not recognize it. Even when irregular cues were detected, improper rules were employed, eliminating feedback. Since the complication-causing error occurred at few key steps during laparoscopic cholecystectomy; we instituted focused training to heighten vigilance, and have formulated specific rules to decrease the incidence of bile duct injury. In addition, factors in the laparoscopic environment contributing to this illusion are discussed.

scholarly journals Design and evaluation of UAV ground control station by considering human factors standards and guidelines

2021 ◽  
Author(s):  
Taiwo Amida
Keyword(s):  
Human Factors ◽  
Human Error ◽  
Ground Control ◽  
Task Load ◽  
Ground Control Station ◽  
Programming Techniques ◽  
Aerial Vehicle ◽  
Standards And Guidelines ◽  
Commercial Off The Shelf ◽  
Nasa Task Load Index

The majority of Unmanned Aerial Vehicle (UAV) accidents can be directly related to human error. For this reason, standards and guidelines focusing on human factors have been published by various organizations such as Transport Canada, FAA, EASA, NASA and military agencies. The objective of this thesis is to present a methodology for designing a Ground Control Station (GCS) using available standards and guidelines for human factors. During the design process, a detailed analysis was performed using human factors methods to ensure all requirements were met; each phase of the design follows the guidelines presented in the compiled human factors standards and guidelines. The GCS interface was developed using advanced programming techniques and commercial off-the-shelf software. Moreover, an operator workload evaluation was carried out using NASA task load index for validation of design methodology. It was found that the applied methodology not only improved the pilot workload, but also ensured that all user and stakeholders’ requirements are met.

Assessing Human Reliability Behaviour from Use of Technology for Ships Navigating within Coastal Water

2015 ◽  
pp. 1141-1153
Author(s):  
Oladokun Sulaiman Olanrewaju
Keyword(s):  
Human Factors ◽  
Coastal Water ◽  
Human Error ◽  
Qualitative Assessment ◽  
Human Reliability ◽  
Human Errors ◽  
Performance Shaping Factors ◽  
Use Of Technology ◽  
Quasi Experimental ◽  
Guidelines And Standards

The traditional approach to the study of human factors in the maritime field involves the analysis of accidents without considering human factor reliability analysis. The main approaches being used to analyze human errors are statistical approach and probability theory approach. Another suitable approach to the study of human factors in the maritime industry is the quasi-experimental field study where variations in performance (for example attention) can be observed as a function of natural variations in performance shaping factors. This chapter analyzes result of modelling for human error and human reliability emanating from the use of technology on board ship navigation in coastal water areas by using qualitative and quantitative tools. Accident reports from marine department are used as empirical material for quantitative analysis. The literature on safety is based on common themes of accidents, the influence of human error resulting from technology usage design, accident reports from MAIB, and interventions information are used for qualitative assessment. Human reliability assessment involves analysis of accidents in waterways emanating from human-technology factors. The chapter reports enhancement requirement of the methodological issues with previous research study, monitoring, and deduces recommendations for technology modification of the human factors necessary to improve maritime safety performance. The result presented can contribute to rule making and safety management leading to the development of guidelines and standards for human reliability risk management for ships navigating within inland and coastal waters.

Effects of Human Factors in Process Safety

2022 ◽  
pp. 1477-1507
Author(s):  
Gargi Bhattacharjee ◽  
Sudip Kumar Das
Keyword(s):  
Human Factors ◽  
Human Error ◽  
Organizational Factors ◽  
Near Miss ◽  
Accident Analysis ◽  
Eastern Region ◽  
Process Safety ◽  
Process Industries ◽  
Human And Organizational Factors

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).

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