On the role of HMI in human reliability analysis of offshore drilling operations

2017 ◽  
Vol 49 ◽  
pp. 191-208 ◽  
Author(s):  
Geir-Ove Strand ◽  
Mary Ann Lundteigen
Keyword(s):  
Reliability Analysis ◽  
Human Reliability ◽  
Offshore Drilling ◽  
Human Reliability Analysis ◽  
Drilling Operations

scholarly journals Human Reliability Analysis for Verification and Validation of New Designs

2019 ◽  
Vol 63 (1) ◽  
pp. 2170-2174
Author(s):  
Ronald Laurids Boring
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Empirical Studies ◽  
Nuclear Industry ◽  
Internal Quality ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Performance Shaping Factors ◽  
System Interfaces

As the commercial nuclear industry prepares to extend the life of existing power reactors and build new reactors, it becomes necessary to verify and validate the human-system interfaces found in the main control rooms and elsewhere at the plants. Verification has consisted of comparison of the system to human factors standards. Validation has consisted of operator-in-the-loop studies to identify potential shortcomings in the system design and establish the safety of operations of the system. The empirical studies in support of validation have typically been led by human factors experts, who treat the validation exercise as a type of detailed usability study to meet regulatory and internal quality standards. Human reliability analysis (HRA) has not held a prominent role in validation. In this paper, we explore the role of HRA to augment human factors studies. It is suggested that HRA can serve as an important driver in the design of validation studies by identifying those critical performance shaping factors known to lead to decreased operator reliability. Additionally, HRA can support verification by serving as a standard checklist against which to base expected operator performance.

The Use of Dominance, Influence, Steadiness and Compliance (DISC) Personality Test in the Assessment of Accidents Likelihood on Offshore Drilling Operations

2020 ◽  
Author(s):  
Carlos Henrique Bittencourt Morais ◽  
Ulrico Barini Filho ◽  
Marcelo Ramos Martins
Keyword(s):  
Cognitive Modeling ◽  
Human Error ◽  
First Generation ◽  
Working Environment ◽  
Personality Test ◽  
Human Reliability ◽  
Offshore Drilling ◽  
Human Reliability Analysis ◽  
Safety Issues ◽  
Drilling Operations

Abstract Brazilian offshore drilling operations are carried out in a highly demanding and complex working environment. The geological characteristics of the most productive Brazilian reservoirs, located on the so-called Pre-Salt basin, actually implies for their exploration the overcoming of water depths greater than 1,500 meters and the construction of wells that can reach up to 7,000 meters of length. In such environment, human reliability plays a primordial role regarding safety issues. On the same token, in the field of risk analysis, the consideration of human behavior holds a unique position and its relevance for the consubstantiation of accidents is widely recognized throughout the literature. Nonetheless, a comprehensive way to model it is still an ongoing effort. In this challenge, human error, understood both as a success or a failure probability, provided the first base for the development of techniques capable to infer the outcome towards man machine interaction (MMI). Such stand point gave birth to a series of tools and methodologies, usually called as human reliability analysis (HRA) first generation tools. In an attempt to address the perceived deficiencies of the first-generation tools, the decade of the 1990’s saw the introduction of HRA models based on cognitive assumptions, naturally called HRA second-generation tools. On its turn, the cognitive modeling perspective has demanded the adoption of more sophisticated architectures that, ultimately, have been leading to the dynamically account of the cognitive process. In this context, the present work aims to contribute for this debate analyzing the use of the Dominance, Influence, Steadiness and Compliance (DISC) personality test in the assessment of accidents likelihood on offshore drilling operations in Brazil. By means of actual data collected during the years 2016 and 2017, the paper develops a qualitative discussion of the foreseen outcomes regarding accident proneness considering the working and the under-pressure profiles advocated on DISC.

Human reliability analysis for control room upgrades

2009 ◽  
Author(s):  
Ronald Laurids Boring ◽  
Johanna Oxstrand ◽  
Michael Hildebrandt
Keyword(s):  
Reliability Analysis ◽  
Control Room ◽  
Human Reliability ◽  
Human Reliability Analysis

Fatigue As A Performance Shaping Factor In Human Reliability Analysis For Long-Duration Spaceflight

2020 ◽  
Vol 64 (1) ◽  
pp. 1681-1685
Author(s):  
Ronald Boring ◽  
Thomas Ulrich ◽  
Torrey Mortenson ◽  
David German
Keyword(s):  
Reliability Analysis ◽  
Meta Analysis ◽  
Extended Period ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Space Applications ◽  
Performance Shaping Factors ◽  
Long Duration ◽  
Starting Point ◽  
Chronic Sleep

This paper provides background on the process to enhance human reliability analysis (HRA) for long-duration space applications. While short-duration missions largely mirror ground activities and fit well with existing HRA methods, new missions to the Moon or Mars entail a significantly longer duration of time in space for astronauts. This extended period in space presents opportunities to affect astronaut performance that require consideration of new performance shaping factors (PSFs). In the present paper, we conducted a meta-analysis on fatigue and developed a new PSF to account for chronic sleep deprivation associated with long-duration space missions. Fatigue provides a starting point for additional PSFs needed for space HRA.

scholarly journals Use of Pediatric Injectable Medicines Guidelines and Associated Medication Administration Errors: A Human Reliability Analysis

2021 ◽  
pp. 106002802199964
Author(s):  
Matthew D. Jones ◽  
Jonathan Clarke ◽  
Calandra Feather ◽  
Bryony Dean Franklin ◽  
Ruchi Sinha ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Medication Administration ◽  
Original Study ◽  
Human Reliability ◽  
Large Magnitude ◽  
Human Reliability Analysis ◽  
Video Recordings ◽  
Medication Administration Errors ◽  
Key Factor ◽  
Clinically Significant

Background: In a recent human reliability analysis (HRA) of simulated pediatric resuscitations, ineffective retrieval of preparation and administration instructions from online injectable medicines guidelines was a key factor contributing to medication administration errors (MAEs). Objective: The aim of the present study was to use a specific HRA to understand where intravenous medicines guidelines are vulnerable to misinterpretation, focusing on deviations from expected practice ( discrepancies) that contributed to large-magnitude and/or clinically significant MAEs. Methods: Video recordings from the original study were reanalyzed to identify discrepancies in the steps required to find and extract information from the NHS Injectable Medicines Guide (IMG) website. These data were combined with MAE data from the same original study. Results: In total, 44 discrepancies during use of the IMG were observed across 180 medication administrations. Of these discrepancies, 21 (48%) were associated with an MAE, 16 of which (36% of 44 discrepancies) made a major contribution to that error. There were more discrepancies (31 in total, 70%) during the steps required to access the correct drug webpage than there were in the steps required to read this information (13 in total, 30%). Discrepancies when using injectable medicines guidelines made a major contribution to 6 (27%) of 22 clinically significant and 4 (15%) of 27 large-magnitude MAEs. Conclusion and Relevance: Discrepancies during the use of an online injectable medicines guideline were often associated with subsequent MAEs, including those with potentially significant consequences. This highlights the need to test the usability of guidelines before clinical use.

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