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Showing papers on "Human error assessment and reduction technique published in 2018"


Journal ArticleDOI
TL;DR: A modified HEART method with Railway Action Reliability Assessment (RARA) technique and fuzzy analytic network process (FANP) is proposed to assess human error probability in high-speed railway dispatching tasks.

45 citations


Journal ArticleDOI
TL;DR: A comprehensive human error prediction during bunkering operation demonstrated with a case study at chemical tanker platform is presented and a SOHRA method, developed as a marine-specific approach to quantify human error, is employed.

38 citations


Book ChapterDOI
01 Jan 2018
TL;DR: This chapter provides an introduction of the most commonly used methodologies to estimate HEP for marine and offshore systems, which are Success Likelihood Index Method, Human Error Assessment and Reduction Technique, and Bayesian network.
Abstract: Human factors play an important role in marine and offshore systems. In fact, a majority of accidents in marine and offshore operations are related to human errors. The accurate assessment of Human Error Probability (HEP) under varying conditions is an essential step to prevent human error-related accidents. This chapter provides an introduction of the most commonly used methodologies to estimate HEP for marine and offshore systems. These methodologies are Success Likelihood Index Method, Human Error Assessment and Reduction Technique, and Bayesian network. Additionally, this chapter also provides a guidance for applying these methodologies in practical context to improve the safety and reliability of the marine and offshore systems.

15 citations


Journal ArticleDOI
Jin Kyun Park1, Yochan Kim1, Wondea Jung1
TL;DR: The nominal HEPs of 15 task types are quantified based on the number of task opportunities calculated from the 13 investigation reports stemming from diverse human errors, to take the first step in securing HRA data from investigation reports that reflect the operation experience of domestic NPPs.

13 citations


Journal ArticleDOI
TL;DR: The aims of this study are to know the main cause of accidents by human factors, to increase the awareness of safety at sea especially, and furthermore to improve the quality of ergonomics at sea.
Abstract: Human factors is playing an important role in every accident, particularly marine accidents. Hence, a lot of researches were conducted to analyze the human factors involvement in the accidents. Since the development of marine industry shows progressively increasing nowadays, especially in Indonesia, as Indonesia vision to be a global maritime axis of the world for marine industry, the awareness of safety life at sea has to be increase as well. Human reliability analysis (HRA) consist of many methodologies to analyze the accidents, the basic steps of HRA is qualitative method and quantitative method, one of the HRA methodology is Human Error Assessment and Reduction Technique (HEART) methodology which has been established in 1982 to assess nuclear power plant. HEART methodology is applied in this study to analyze the cause of marine accidents by human factors. The aims of this study are to know the main cause of accidents by human factors, to increase the awareness of safety at sea especially, and furthermore to improve the quality of ergonomics at sea. There are 93 EPC which discovered in this study for analyzing marine accidents in Indonesia.

10 citations



Journal ArticleDOI
28 Jan 2018
TL;DR: The main purpose of this paper is to show the practical application of Human Error Assessment and Reduction Technique (HEART) for HRA in Electric Power Company of Serbia (EPCS), and is a relatively fast tool for assessment of human error probability that is easily applied and understood.
Abstract: In complex industrial systems, human error has been cited as a cause or a contributing factor in accidents and disasters The need for improved Human Reliability Assessment (HRA) methodologies that should be applied in Probabilistic Safety Assessments, ever since the early 1990s, has motivated a number of major activities in research and development worldwide Therefore, the main purpose of this paper is to show the practical application of Human Error Assessment and Reduction Technique (HEART) for HRA in Electric Power Company of Serbia (EPCS) The usefulness of this technique for HRA has been approved in a case study of an accident which occurred during a repair on a 10/04 kV steel lattice tower “Maricice“, Kursumlija (jurisdiction of EPCS, ED “Jugoistok”, Nis, Serbia) For the purpose of this study, a database on work-related injuries, accidents, and critical interventions that occurred over a 10-year period was created The research comprised an analysis of 1074 workplaces, with a total of 3997 employees The case study performed at the EPCS confirmed that the HEART is based on knowledge of human activities and relies on expert opinion to determine the Error Producing Condition (EPCs) that affected the situation The HEART can be used in different industrial systems, as a risk assessment, accident investigation and design tool In addition, it is a relatively fast tool for assessment of human error probability that is easily applied and understood

5 citations


Proceedings ArticleDOI
15 Mar 2018
TL;DR: A systematic investigation into the human errors involved in crane operation and mitigation approach is proposed using Hierarchical task analysis (HTA), Systematic Human Error Reduction and Prediction Approach (SHERPA) and Fuzzy FMEA methods.
Abstract: Manufacturing industries having EOT cranes at various workplaces throws challenge for crane operators every day for safe operation in complex and hazardous work envelope. Operators' mistake due to ignorance or improper training sometimes lead to devastating situation like loss of human life, equipment and property damage. The current study proposed a systematic investigation into the human errors involved in crane operation and mitigation approach. Error identification and prioritization are done using Hierarchical task analysis (HTA), Systematic Human Error Reduction and Prediction Approach (SHERPA) and Fuzzy FMEA methods. Virtual reality based training is suggested for the crane operators to be competent enough for safe operation in identified hazardous situations.

4 citations


Journal ArticleDOI
TL;DR: It could be known that the company needed to improve the implementation of health and safety in the project, which could be done systematically, started from the employers, safety supervisor, and workers.
Abstract: .