A study on application to marine accident of human reliability analysis method

Abstrak, Daftar kasus kecelakaan kerja di galagan kapal yang terjadi selama 8 tahun terakhir dengan jumlah kasus tertinggi pada proses pekerjaan grinding dan welding. Kasus kecelakaan kerja tersebut disebabkan oleh kesalahan manusia atau human error. Pada penelitian ini menggunakan pendekatan Cogitive Reliability and Error Analysis Method (CREAM) untuk memprediksi dan mengurangi terjadinya human error. Pada metode ini dilakukan dengan dua cara yaitu basic method yang berfungsi untuk hanya mendapatkan nilai probabilitas kegagalan secara umum, sedangkan extend method berfungsi untuk mendapatkan nilai probabilitas kegagalan kognitif pada setiap task. Hasil penelitian menunjukkan bahwa faktor yang menurunkan keandalan operator dan mempengaruhi timbulnya human error pada operator grinding dan welding adalah faktor kondisi pekerjaan dan waktu dalam hari saat pekerjaan berlangsung. Nilai probabilitas error tertinggi pada proses pekerjaan grinding dan welding terdapat pada aspek kognitif interpretation, dengan masing-masing nilai CFP pada proses grinding yaitu sebesar 0,024 dan pada proses welding 0,006. Usulan perbaikan untuk mengurangi probabilitas human error pada proses grinding dan welding adalah pada kondisi pekerjaan dengan membutuhkan penerangan yang cukup saat bekerja didalam kapal, membutuhkan sirkulasi udara yang baik saat bekerja didalam kapal, dan membutuhkan peningkatan pengawasan kepada operator agar operator dapat bekerja dengan aman dan disiplin dalam bekerja. Serta membutuhkan pengoptimalan manajemen waktu dalam bekerja, agar operator dapat bekerja dengan baik dan memiliki waktu istirahat yang cukup. Kata kunci : Human Error, Cogitive Reliability and Error Analysis Method (CREAM), Human Realiability Analysis (HRA).

Download Full-text

An Application of CREAM for Human Reliability Analysis in Power System Switching Operation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.584-586.2585 ◽

2014 ◽

Vol 584-586 ◽

pp. 2585-2588 ◽

Cited By ~ 4

Author(s):

Jun Xi Tang ◽

Ying Kai Bao ◽

Li Cheng Wang ◽

Chuang Xin Guo ◽

Wen Hai Liu ◽

...

Keyword(s):

Power System ◽

Reliability Analysis ◽

Human Error ◽

Analysis Method ◽

Human Reliability ◽

Human Reliability Analysis ◽

Switching Operation ◽

Equipment Reliability ◽

System Switching ◽

Human Error Probability

Reliability is always one of the most focal points for the power system researchers. With the improvement of equipment reliability, human error has become a great threat to the power system security. But the human reliability analysis in power system does not get as much attention as it perhaps deserve. As a representative HRA method, the Cognitive Reliability and Error Analysis Method (CREAM) is cited in this paper. And it is applied to evaluate the human error probability of a simple switching operation case. This practice is a beneficial attempt to introduce HRA method into the power system reliability research and lay a foundation for the further explorations.

Download Full-text

Proof of Concept for a Human Reliability Analysis Method for Heuristic Usability Evaluation of Software

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120504900509 ◽

2005 ◽

Vol 49 (5) ◽

pp. 676-680 ◽

Cited By ~ 3

Author(s):

Ronald L. Boring ◽

David I. Gertman ◽

Jeffrey C. Joe ◽

Julie L. Marble

Keyword(s):

Reliability Analysis ◽

Nuclear Power ◽

Power Plants ◽

Cost Effective ◽

Usability Evaluation ◽

Analysis Method ◽

Human Reliability ◽

Human Reliability Analysis ◽

New Techniques ◽

Innovative Methods

An ongoing issue within human-computer interaction (HCI) is the need for simplified or “discount” methods. The current economic slowdown has necessitated innovative methods that are results driven and cost effective. The myriad methods of design and usability are currently being cost-justified, and new techniques are actively being explored that meet current budgets and needs. Recent efforts in human reliability analysis (HRA) are highlighted by the ten-year development of the Standardized Plant Analysis Risk HRA (SPAR-H) method. The SPAR-H method has been used primarily for determining humancentered risk at nuclear power plants. The SPAR-H method, however, shares task analysis underpinnings with HCI. Despite this methodological overlap, there is currently no HRA approach deployed in heuristic usability evaluation. This paper presents an extension of the existing SPAR-H method to be used as part of heuristic usability evaluation in HCI.

Download Full-text

Development of a Behaviorally Based Human Reliability Analysis Method

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193129503901509 ◽

1995 ◽

Vol 39 (15) ◽

pp. 1006-1010 ◽

Cited By ~ 4

Author(s):

Harold S. Blackman ◽

James C. Byers

Keyword(s):

Reliability Analysis ◽

Human Behavior ◽

Nuclear Power ◽

Power Plants ◽

Human Performance ◽

Nuclear Regulatory Commission ◽

Analysis Method ◽

Human Reliability ◽

Information Processing Model ◽

Human Reliability Analysis

Human reliability analysis (HRA) assesses the safety and risk significance of human tasks. This paper describes the development and testing of a behaviorally based human reliability analysis method. A general criticism of HRA methods is the inability to tie HRA methods back to first principles in human behavior. The method described here, developed for the accident sequence precursor (ASP) program of the U. S. Nuclear Regulatory Commission (NRC), begins by first describing an information processing model of human behavior, and then using it to define a comprehensive list of factors that influence human performance. These psychological factors are then distilled into the practical and operational factors more commonly identified in nuclear power plant operation. Appropriate adjustments for level of detail are then made to the factors and a further model developed to evaluate the effect of dependency between human actions. The application of the method to the ASP models for two nuclear power plants is discussed.

Download Full-text

Developing the foundations of a cognition-based human reliability analysis model via mapping task types and performance-influencing factors: Application to radiotherapy

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x17731903 ◽

2017 ◽

Vol 232 (1) ◽

pp. 3-37 ◽

Cited By ~ 3

Author(s):

Dhruv Pandya ◽

Luca Podofillini ◽

Frank Emert ◽

Antony J Lomax ◽

Vinh N Dang

Keyword(s):

Reliability Analysis ◽

Influencing Factors ◽

Factor Structure ◽

Influencing Factor ◽

Task Type ◽

Analysis Method ◽

Human Reliability ◽

Human Reliability Analysis ◽

And Performance ◽

Paul Scherrer

Most human reliability analysis methods have been developed for nuclear power plant applications; this challenges the application of the available techniques to other domains. Indeed, for application to a specific domain, a human reliability analysis method should address the relevant tasks and performance conditions. The aim of this article is to propose a methodology to develop a generic task type–performance-influencing factor structure, specific for application to a domain of interest and directly linked to an underlying cognitive framework of literature. The structure provides the foundation of a human reliability analysis method built on the generic task type concept; it identifies the sector-specific performance-influencing factor effects on the failure probability that the method needs to represent and quantify for each generic task type. The methodology is intended to support a systematic and traceable process to develop the generic task type–performance-influencing factor structure, to ease the review of the process and of its results and, in case, identify and implement changes to the structure. The proposed methodology is applied to the radiotherapy domain allowing the development of sector-specific taxonomies of representative critical tasks, their failure modes, underlying cognitive failure mechanism, and influencing performance-influencing factors. This is part of a broader activity carried out by the Risk and Human Reliability Group at the Paul Scherrer Institute of Switzerland to develop a human reliability analysis method, specific for the radiotherapy domain. The activity is conducted in close cooperation with Paul Scherrer Institute’s Center for Proton Therapy, where a first application of the method is foreseen.

Download Full-text