scholarly journals Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model

2018 ◽  
Vol 5 (10) ◽  
pp. 180915 ◽  
Author(s):  
Qingwei Xu ◽  
Kaili Xu ◽  
Xiwen Yao ◽  
Jinjia Zhang ◽  
Ben Wang

Sand casting operations, though commonplace, pose a significant threat of explosion accidents. This paper presents a novel sand casting safety assessment technique based on fault tree analysis, Heinrich accident triangle, hazard and operability–layer of protection analysis (HAZOP–LOPA) and bow tie model components. Minimal cut sets and minimal path sets are first determined based on fault tree analysis, then the frequency of sand casting explosion accidents is calculated based on the Heinrich accident triangle. Third, the risk level of venting quality can be reduced by adopting HAZOP–LOPA; the residual risk level of venting quality remains excessive even after adopting two independent protective layers. The bow tie model is then adopted to determine the causes and consequences of venting quality. Five preventative measures are imposed to enhance the venting quality of foundry sand accompanied by 16 mitigative safety measures. Our results indicate that the risk attributable to low foundry sand venting quality can be minimized via bow tie analysis.

1977 ◽  
Vol 72 (358) ◽  
pp. 482 ◽  
Author(s):  
Robert G. Easterling ◽  
R. E. Barlow ◽  
J. B. Fussel ◽  
N. D. Singpurwalla

Author(s):  
Guofeng Tang ◽  
Jingyu Zhang ◽  
Wei Gao ◽  
Qinfang Zhang

Zero-suppressed Binary Decision Diagram (ZBDD) algorithm is an advanced method in fault tree analysis, which is developing quickly in recent years and being used in the development of the Probabilistic Safety Assessment (PSA) Quantification Engine. This algorithm converts a fault tree to a ZBDD structure, solves the minimal cut sets and calculates the top node unavailability. The ordering of the basic events and logical gates is the core technique of the ZBDD algorithm, which determines the efficiency of the ZBDD conversion and the size of the ZBDD structure. A variable ordering method based on the structure of the fault tree is developed in this paper, which gives a better basic events order by compressing the fault tree; meanwhile, the method offers a logical gates order. The nodes order derived from this method can accelerate the ZBDD conversion obviously.


2019 ◽  
Vol 14 (2) ◽  
pp. 111
Author(s):  
Singgih Saptadi ◽  
Fahmi Ardi

Perkembangan industri di Indonesia, khususnya pada industri manufaktur, mengalami kemajuan yang cukup pesat. Populasi tenaga kerja industri bertambah seiring perkembangan industri dan nilai tambah industri nasional yang meningkat dengan jumlah sebanyak 30,992 orang pada tahun 2018, meningkat 17,92% dibanding tahun 2017. Namun, masalah dan penanggulangan pada kasus kecelakaan kerja masih kurang diperhatikan, dibarengi dengan jumlah kecelakaan kerja yang masih tinggi, tidak terkecuali di PT. Astra Daihatsu Motor. Maka dari itu penelitian dilakukan di area Assembly 2 di area pabrik PT. Astra Daihatsu Motor di kawasan Sunter, Jakarta, dengan metode Hazard and Operability Study (HAZOP) dan Fault Tree Analysis (FTA) untuk mengetahui potensi bahaya secara teliti serta mengungkap unsur-unsur yang berpotensi berbahaya dalam sistem. Pada penelitian ini ditemukan sebanyak 17 sumber bahaya dengan 2 sumber termasuk dalam level risiko tinggi, 3 sumber level risiko sedang, dan 12 sumber level risiko rendah. Analisis deduktif dengan Fault Tree Analysis didapatkan hasil dengan munculnya 5 basic event dari Thinner dan 4 basic event dari Lampu Heater dengan rekomendasi perbaikan pada aspek desain, konstruksi, dan pelatihan handling yang baik pada material tersebut. Abstract[Proposed Improvement of Hazard Sources In The Area of Assembly 2 With The Hazard And Operability Study And Fault Tree Analysis (Case Study: PT. Astra Daihatsu Motor)]The development of industry in Indonesia, especially in the manufacturing industry, has experienced rapid progress. The industrial labor population increased as industry development and national industrial value added increased by as many as 30,992 people in 2018, an increase of 17.92% compared to 2017. However, the prevention and countermeasures in cases of workplace accidents are still not considered as priority, including in PT. Astra Daihatsu Motor. Therefore a research has been conducted in the Assembly 2 area at the PT. Astra Daihatsu Motor in the Sunter area, Jakarta, using the applicability of Hazard and Operability Study (HAZOP) method and the Fault Tree Analysis (FTA) method to carefully identify potential hazards and reveal potentially dangerous elements in the system. In this study 17 sources of hazards were found with 2 sources including high risk level, 3 medium risk level sources, and 12 low risk level sources.  Deductive analysis with Fault Tree Analysis is obtained, namely 5 basic events from Thinner and 4 basic events from the Heater Lamps with recommendations on aspects of design, construction, and handling training in the material.Keywords: work accident; hazard and operability; risk level; fault tree analysis


2020 ◽  
Vol 19 (2) ◽  
pp. 155-172
Author(s):  
Gregory Asuelimen ◽  
Eduardo Blanco-Davis ◽  
Jin Wang ◽  
Zaili Yang ◽  
Dante Benjamin Matellini

Abstract In maritime safety research, risk is assessed usually within the framework of formal safety assessment (FSA), which provides a formal and systematic methodology to improve the safety of lives, assets, and the environment. A bespoke application of FSA to mitigate accidents in marine seismic surveying is put forward in this paper, with the aim of improving the safety of seismic vessel operations, within the context of developing an economically viable strategy. The work herein takes a close look at the hazards in North Sea offshore seismic surveying, in order to identify critical risk factors, leading to marine seismic survey accidents. The risk factors leading to undesirable events are analysed both qualitatively and quantitatively. A risk matrix is introduced to screen the identified undesirable events. Further to the screening, Fault Tree Analysis (FTA) is presented to investigate and analyse the most critical risks of seismic survey operation, taking into account the lack of historical data. The obtained results show that man overboard (MOB) event is a major risk factor in marine seismic survey operation; lack of training on safe work practice, slippery deck as a result of rain, snow or water splash, sea state affecting human judgement, and poor communication are identified as the critical risk contributors to the MOB event. Consequently, the risk control options are focused on the critical risk contributors for decision-making. Lastly, suggestions for the introduction and development of the FSA methodology are highlighted for safer marine and offshore operations in general.


Author(s):  
JULWAN HENDRY PURBA ◽  
JIE LU ◽  
GUANGQUAN ZHANG

Fault tree analysis for nuclear power plant probabilistic safety assessment is an intricate process. Personal computer-based software systems have therefore been developed to conduct this analysis. However, all existing fault tree analysis software systems only accept quantitative data to characterized basic event reliabilities. In real-world applications, basic event reliabilities may not be represented by quantitative data but by qualitative justifications. The motivation of this work is to develop an intelligent system by fuzzy reliability algorithm in fault tree analysis, which can accept not only quantitative data but also qualitative information to characterized reliabilities of basic events. In this paper, a newly-developed system called InFaTAS-NuSA is presented and its main features and capabilities are discussed. To benchmark the applicability of the intelligent concept implemented in InFaTAS-NuSA, a case study is performed and the analysis results are compared to the results obtained from a well-known fault tree analysis software package. The results confirm that the intelligent concept implemented in InFaTAS-NuSA can be very useful to complement conventional fault tree analysis software systems.


2011 ◽  
Vol 5 (2) ◽  
pp. 162 ◽  
Author(s):  
Julwan Hendry Purba ◽  
Jie Lu ◽  
Guangquan Zhang ◽  
Da Ruan

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