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

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.

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

Transportation Systems and Engineering ◽

10.4018/978-1-4666-8473-7.ch058 ◽

2015 ◽

pp. 1141-1153

Author(s):

Oladokun Sulaiman Olanrewaju

Keyword(s):

Human Factors ◽

Coastal Water ◽

Human Error ◽

Qualitative Assessment ◽

Human Reliability ◽

Human Errors ◽

Use Of Technology ◽

Quasi Experimental ◽

Guidelines And Standards

A Method for Marine Human Error Probability Estimate: APJE-SLIM

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.97-98.825 ◽

2011 ◽

Vol 97-98 ◽

pp. 825-830 ◽

Cited By ~ 3

Author(s):

Yong Tao Xi ◽

Chong Guo

Keyword(s):

Collision Avoidance ◽

Human Error ◽

Shipping Industry ◽

Human Reliability ◽

Combined Method ◽

Probability Estimate ◽

Human Errors ◽

Industry Research ◽

Human Error Probability

Safety is the eternal theme in shipping industry. Research shows that human error is the main reason of maritime accidents. Therefore, it is very necessary to research marine human errors, to discuss the contexts which caused human errors and how the contexts effect human behavior. Based on the detailed investigation of human errors in collision avoidance behavior which is the most key mission in navigation and the Performance Shaping Factors (PSFs), human reliability of mariners in collision avoidance was analyzed by using the integration of APJE and SLIM. Result shows that this combined method is effective and can be used for the research of maritime human reliability.

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

Volume 2A: Structures, Safety, and Reliability ◽

10.1115/omae2020-18911 ◽

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 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.

Assessment of Human Reliability Under the Conditions of Uncertainty: SPAR-H Methodology Interpreted in Terms of Interval-Valued Probabilities

ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg ◽

10.1115/1.4050167 ◽

2021 ◽

Vol 7 (2) ◽

Author(s):

Victor G. Krymsky ◽

Farit M. Akhmedzhanov

Keyword(s):

Human Error ◽

Human Reliability ◽

Maximum Probability ◽

Worst Case ◽

Human Errors ◽

Error Probabilities ◽

Available Information ◽

Interval Valued ◽

Human Error Probability

Abstract The well-known standardized plant analysis risk-human reliability (SPAR-H) methodology is widely used for analysis of human reliability in complex technological systems. It allows assessing the human error probability taking into account eight important groups of performance shaping factors. Application of this methodology to practical problems traditionally involves assumptions which are difficult to verify under the conditions of uncertainty. In particular, it introduces only two possible values of the nominal human error probabilities (for diagnosis and for actions) which do not cover the whole spectrum of the tasks within operator's activity. In addition, although the traditional methodology considers the probabilities of human errors as the random variables, it operates only on a single predefined type of distribution for these variables and does not deal with the real situations in which the type of distribution remains uncertain. The paper proposes modification to the classical approach to enable more adequate modeling of real situations with the lack of available information. The authors suggest usage of the interval-valued probability technique and of the expert judgment on the maximum probability density for actual probabilities of human errors. Such methodology allows obtaining generic results that are valid for the entire set of possible distributions (not only for one of them). The modified methodology gives possibility to derive final assessments of human reliability in interval form indicating “the best case” and “the worst case.” A few numerical examples illustrate the main stages of the suggested procedure.

FACTORS INFLUENCING HUMAN RELIABILITY OF HIGH TEMPERATURE GAS COOLED REACTOR OPERATION

JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA ◽

10.17146/tdm.2016.18.3.3017 ◽

2016 ◽

Vol 18 (3) ◽

pp. 135

Author(s):

Sigit Santoso

Keyword(s):

Human Error ◽

Time Variable ◽

Analysis Method ◽

Control Room ◽

Human Reliability ◽

Operator Performance ◽

Factors Influencing ◽

Machine Interface ◽

High Temperature Gas

ABSTRACT Operator roles and intervene actions on the operation of gas cooled reactor would be different compared to their roles in other reactor types. Analysis of operator performance and the influencing factors can be conducted comprehensively in Human Reliability Analysis (HRA). Using HRA, the impact of human errors on the system and the ways to reduce human error impact and frequency can be idenfified. The paper discusses factors influencing reactor operator performance to response to the cooling accident of the high temperature gas cooled reactor (HTGR). Analysis and qualification of influencing factors, which are performance shaping factors (PSF), were conducted based on time reliability curve and Cognitive Reliability and Error Analysis Method (CREAM). Based on time reliability curve, results showed that time variable contributes to the improvement of operator performance (PSF<1), especially when the safety features of the system properly work as in the design. Based on CREAM, it can be identified that in addition to the time variable, human machine interface design and sufficiently training also contribute to the improvement of operator performance. This study found that total PSF equals to 0.25, in which the positive dominant factor is time variable whose PSF is 0.01 and the negative dominant factors are procedure and working cycle whose PSF is 5. Those PSF values reflected the multiplier factors to the human error probability. The analysis of performance shaping factors should be developed on the other operation and accident scenarios of HTGRs prior to be further applied for a comprehensive assessment and analysis of human reliability and for the design of human machine interface system at control room. Keywords: PSF, HTGR, human operator, control room, human reliability ABSTRAK Peran dan tindakan operator pada reaktor berpendingin gas akan berbeda dengan peran operator pada operasi tipe reaktor lain. Analisis unjuk kerja operator dan faktor yang berpengaruh dapat dilakukan secara komprehensif melalui analisis keandalan manusia(HRA). Melalui HRA dampak dari kesalahan manusia pada sistem maupun cara untuk mengurangi dampak dan frekuensi kesalahan dapat diketahui. Makalah membahas faktor yang berpengaruh pada tindakan operator, yaitu pada kejadian kecelakaan pendingin reaktor gas bersuhu tinggi-HTGR. Analisis untuk kualifikasi faktor pembentuk kinerja(PSF) dilakukan berdasarkan kurva keandalan fungsi waktu, dan metode keandalan manusia yang dikembangkan berdasar pada aspek kognitif yaitu Cognitive Reliability and Error Analysis Method (CREAM). Hasil analisis berdasar kurva keandalan fungsi waktu menunjukkan komponen waktu berkontribusi positif pada peningkatan keandalan operator (PSF<1) pada kondisi semua fitur keselamatan berfungsi sesuai rancangan. Sedangkan pada metoda analisis dengan pendekatan kognitif CREAM diketahui selain faktor ketersediaan waktu, faktor pelatihan dan rancangan HMI juga berkontribusi meningkatkan keandalan operator. Faktor pembentuk kinerja keseluruhan diketahui sebesar 0,25 dengan faktor kontribusi positif dominan atau berpengaruh pada penurunan kesalahan manusia adalah ketersediaan waktu (PSF=0,01), dan faktor kontribusi negatif dominan adalah prosedur dan siklus kerja (PSF=5). Nilai PSF tersebut sebagai faktor pengali dalam perhitungan probabilitas kesalahan manusia. Analisis faktor pembentuk kinerja perlu dikembangkan pada skenario kejadian lain untuk selanjutnya digunakan untuk perhitungan dan analisis keandalan manusia yang komprehensif dan perancangan sistem interaksi manusia mesin di ruang kendali. Kata kunci: PSF, HTGR, operator, ruang kendali, keandalan manusia

UNCERTAINTY OF HUMAN ERROR AND FUZZY APPROACH TO HUMAN RELIABILITY ANALYSIS

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s021848850600387x ◽

2006 ◽

Vol 14 (01) ◽

pp. 111-129 ◽

Cited By ~ 24

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 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.

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

AUTOBUSY – Technika Eksploatacja Systemy Transportowe ◽

10.24136/atest.2018.059 ◽

2018 ◽

Vol 19 (6) ◽

pp. 180-184

Author(s):

Waldemar Nowakowski ◽

Tomasz Ciszewski ◽

Zbigniew Łukasik

Keyword(s):

Human Factors ◽

Organizational Factors ◽

Human Reliability ◽

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.

Application of Integrated Human Error Management in Human Factors Engineering Process to Nuclear Power Plant Design

International Journal of Mathematical Engineering and Management Sciences ◽

10.33889/ijmems.2021.6.4.071 ◽

2021 ◽

Vol 6 (4) ◽

pp. 1186-1198

Author(s):

Kenji Mashio ◽

Kodo Ito

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Human Factors ◽

Nuclear Power ◽

Human Error ◽

Error Management ◽

Human Factors Engineering ◽

Plant Design ◽

Integrated Process ◽

Human Errors

Integrated process of human error management in human factors engineering (HFE) process provides a systematic direction for the design countermeasures development to prevent potential human errors. The process analyzes performance influence factors (PIFs) for crew failure modes (CFMs) and human failure events (HFEvs) in human reliability analysis (HRA). This paper provides applications of the process to the event evaluation for nuclear power plant design, especially PWR. In this application, the HRA/HFE integrated process had specified further detail for PIF attributes which had not been obtained in HRA, and showed further investigations to treat how operators induced their human errors through their cognitive task process in their work environment. This application showed effectiveness of the process in order to provide design countermeasures for preventing potential human errors occurrence based on the extensive PIFs and their error forcing context in HRA.

Analysis and Estimation of Human Errors From Major Accident Investigation Reports

ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg ◽

10.1115/1.4044796 ◽

2019 ◽

Vol 6 (1) ◽

Cited By ~ 1

Author(s):

Caroline Morais ◽

Raphael Moura ◽

Michael Beer ◽

Edoardo Patelli

Keyword(s):

Human Error ◽

Human Performance ◽

Accident Investigation ◽

Human Errors ◽

Near Misses ◽

Major Accident ◽

Using Data ◽

Error Probabilities

Abstract Risk analyses require proper consideration and quantification of the interaction between humans, organization, and technology in high-hazard industries. Quantitative human reliability analysis approaches require the estimation of human error probabilities (HEPs), often obtained from human performance data on different tasks in specific contexts (also known as performance shaping factors (PSFs)). Data on human errors are often collected from simulated scenarios, near-misses report systems, and experts with operational knowledge. However, these techniques usually miss the realistic context where human errors occur. The present research proposes a realistic and innovative approach for estimating HEPs using data from major accident investigation reports. The approach is based on Bayesian Networks used to model the relationship between performance shaping factors and human errors. The proposed methodology allows minimizing the expert judgment of HEPs, by using a strategy that is able to accommodate the possibility of having no information to represent some conditional dependencies within some variables. Therefore, the approach increases the transparency about the uncertainties of the human error probability estimations. The approach also allows identifying the most influential performance shaping factors, supporting assessors to recommend improvements or extra controls in risk assessments. Formal verification and validation processes are also presented.

Human Error in Health Care Delivery: Cases, Causes and Correction

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193129303701101 ◽

1993 ◽

Vol 37 (11) ◽

pp. 846-848 ◽

Cited By ~ 2

Author(s):

Harold P. Van Cott

Keyword(s):

Health Care ◽

Human Factors ◽

Health Care Delivery ◽

Human Error ◽

Human Performance ◽

Care Delivery ◽

Human Errors ◽

Improve Reliability ◽

Intensive System

Health care delivery is viewed as a complex, people-intensive system whose reliability depends on human performance. Examples of the human errors that occur in health care are described, and human factors interventions and remedies that might be taken to improve reliability and safety are suggested.