scholarly journals Methods for evaluating the human factors influence on the safety in transport

2018 ◽  
Vol 19 (6) ◽  
pp. 180-184
Author(s):  
Waldemar Nowakowski ◽  
Tomasz Ciszewski ◽  
Zbigniew Łukasik
Keyword(s):  
Human Factors ◽  
Organizational Factors ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Human Errors ◽  
Qualitative And Quantitative ◽  
Main Emphasis ◽  
Transport Safety ◽  
Technical Factors

Safety is one of the main conditions for the functioning of the transport. The most attention is paid to the technical aspects of transport safety. However, accidents in transport are caused by many different factors and these primarily are: human factors, organizational factors, technical factors and environmental factors. Statistical data indicate that the main cause of accidents and disasters in transport are human errors. Thus, the elimination or reduction of their number could significantly improve the safety in transport. In the article the issues of human reliability in the context of ensuring safety are discussed. Additionally, the classification of human errors was given and an analysis of the causes of these errors was conducted. The main emphasis was put to present and evaluate of the selected methods of qualitative and quantitative Human Reliability Analysis (HRA), such as: THERP, ASEP, HEART, SPAR-H, ATHEANA, CREAM.

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.

Revisiting the FPSO São Mateus Accident From a Human Reliability Perspective Using Phoenix HRA Methodology

2020 ◽  
Author(s):  
Marilia A. Ramos ◽  
Alex Almeida ◽  
Marcelo R. Martins
Keyword(s):  
Human Error ◽  
Oil And Gas ◽  
Risk Estimation ◽  
Petroleum Industry ◽  
Oil And Gas Industry ◽  
Qualitative Assessment ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Human Errors ◽  
Gas Industry

Abstract Several incidents in the offshore oil and gas industry have human errors among core events in incident sequence. Nonetheless, human error probabilities are frequently neglected by offshore risk estimation. Human Reliability Analysis (HRA) allows human failures to be assessed both qualitatively and quantitatively. In the petroleum industry, HRA is usually applied using generic methods developed for other types of operation. Yet, those may not sufficiently represent the particularities of the oil and gas industry. Phoenix is a model-based HRA method, designed to address limitations of other HRA methods. Its qualitative framework consists of three layers of analysis composed by a Crew Response Tree, a human response model, and a causal model. This paper applies a version of Phoenix, the Phoenix for Petroleum Refining Operations (Phoenix-PRO), to perform a qualitative assessment of human errors in the CDSM explosion. The CDSM was a FPSO designed to produce natural gas and oil to Petrobras in Brazil. On 2015 an explosion occurred leading to nine fatalities. Analyses of this accident have indicated a strong contribution of human errors. In addition to the application of the method, this paper discusses its suitability for offshore operations HRA analyses.

UNCERTAINTY OF HUMAN ERROR AND FUZZY APPROACH TO HUMAN RELIABILITY ANALYSIS

2006 ◽  
Vol 14 (01) ◽  
pp. 111-129 ◽  
Author(s):  
B. J. KIM ◽  
RAM R. BISHU
Keyword(s):  
Reliability Analysis ◽  
Nuclear Power ◽  
Power Plants ◽  
Human Error ◽  
Critical Factor ◽  
Fuzzy Approach ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Human Errors ◽  
Fuzzy Logic Approach

Human error is regarded as a critical factor in catastrophic accidents such as disasters at nuclear power plants, air plane crashes, or derailed trains. Several taxonomies for human errors and methodologies for human reliability analysis (HRA) have been proposed in the literature. Generally, human errors have been modeled on the basis of probabilistic concepts with or without the consideration of cognitive aspects of human behaviors. Modeling of human errors through probabilistic approaches has shown a limitation on quantification of qualitative aspects of human errors and complexity of attributes from circumstances involved. The purpose of this paper is to investigate the methodologies for human reliability analysis and introduce a fuzzy logic approach to the evaluation of human interacting system's reliability. Fuzzy approach could be used to estimate human error effects under ambiguous interacting environments and assist in the design of error free work environments.

Enhancing Human Reliability Analysis through Visualization: First Steps

1995 ◽  
Vol 39 (15) ◽  
pp. 1011-1014
Author(s):  
Robert E. Richards ◽  
Steven Novak ◽  
Lon N. Haney ◽  
Henry A. Romero ◽  
Harold S. Blackman
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Theoretical Development ◽  
Human Reliability ◽  
Major Focus ◽  
Human Reliability Analysis ◽  
Improved Methods

Over the last 15 years practitioners and researchers in the area of human factors and human reliability analysis (HRA) at the Idaho National Engineering Laboratory (INEL) have been developing improved methods and tools for performing HRAs. During this last year a major focus has been placed on applying visualization to enhance HRA processes and the communication of HRA results. The team has explored various metaphors, concepts, and has built some initial visualization prototypes. This paper is a summary of the project's progress to date with emphasis on the conceptual and theoretical development to date. Secondarily, the paper describes, briefly, some of the prototyping efforts.

scholarly journals An Instrument for Measuring Perception about Social and Human Factors that Influence Software Development Productivity

2021 ◽  
Vol 27 (2) ◽  
pp. 111-134
Author(s):  
Liliana Machuca-Villegas ◽  
Gloria Piedad Gasca-Hurtado ◽  
Solbey Morillo Puente ◽  
Luz Marcela Restrepo Tamayo
Keyword(s):  
Software Development ◽  
Human Factors ◽  
Organizational Factors ◽  
Personal Factors ◽  
Validity And Reliability ◽  
Problem Solving Skills ◽  
Team Members ◽  
Development Team ◽  
Technical Factors ◽  
Team Productivity

In terms of productivity in software development, there is specific interest in identifying its influencing factors. For this purpose, several classification approaches have been previously used, which have already recognized technical factors, organizational factors, product factors, project factors, and personal factors. However, these approaches often focus on technical factors over social and human factors (SHFs). Nevertheless, in addition to the obvious technical aspects, the software development process involves problem-solving skills and cognitive aspects and social interaction. In this sense, determining SHFs can lead to software organizations designing strategies for improving team productivity. In this study, we first conducted a preliminary classification of the SHFs identified in the literature. Because this study seeks to assess the factors from the standpoint of software development professionals, we developed and validated an instrument to measure the perception of software development team members about SHFs that may be affecting their productivity. For this purpose, the first four stages of survey-based research were followed: objective definition, survey design, instrument construction, instrument validity, and reliability assessment. The instrument included 79 items assessing 13 different SHFs. After assessing both their validity and reliability, the results demonstrated that the instrument is a valid and reliable tool for measuring SHFs perception among software development team members.

Sign in / Sign up

Export Citation Format

Share Document