An Improved Zonal Safety Analysis Method and Its Application on Aircraft CRJ200

Praktikum Perancangan Teknik Industri II(PPTI II) merupakan bagian dari praktikum terintegrasi di Program Studi Teknik Industri UNS yang melakukan kegiatan manufakturdaribahan baku sampai menjadi produk. Prosesmanufaktur menggunakanmesin yang menimbulkan suara bising yang belum sesuai dengan Keselamatan dan Kesehatan Kerja(K3).Penelitian ini bertujuan untuk mengevaluasiK3 pada PPTI IIuntuk mengantisipasi terjadi kecelakaan kerja. Analisis K3menggunakan metode Job Safety Analysis(JSA)denganmengidentifikasi dan menganalisis potensi risiko kecelakaan kerja. Metode penelitian ini dilakukan dengan pengukuran kebisingan dan suhuserta melakukan wawancara terstruktur kepada praktikan. Pengukuran yang dilakukan adalah pengukuran kebisingan dan suhu dalam laboratorium dan untuk memperkuat hasil pengukuran dilakukan wawancara terstruktur terhadap 20 praktikan dari total praktikan yang berjumlah 71 mahasiswakemudian melakukan analisis menggunakan JSA. Hasil penilaian tingkat risikodiketahui bahwa 66,67% potensi risiko paling tinggi adalah karena kebisingan diatas Nilai Ambang Batas. Abstract [Title:Work Safety and Health Evaluation on Industrial Engineering Design Practicum II using Job Safety Analysis Method]Industrial Engineering Design Practicum II (IEDP II) is part of an integrated practicum in the UNS Industrial Engineering Study Program that carry out manufacturing activities from raw materials to products. The manufacturing process usesmachines that cause noise that are not in accordance with Occupational Safety and Health (OHS). This study consisted to evaluate OHS in IEDP II to anticipate workplace accidents. OHS analysis uses the Job Safety Analysis Method by identifying and analyzingthe potential risk of workplace accidents. The method of this research is carried out by measuring noise and temperature and conducting structured interviews with practitioners.Measurements made were measurements of noise and temperature in the laboratory and to strengthen the results of measurements conducted structuredinterviews of 20 practitioners from a total of 71 students who then analyzed using JSA. The results of the risk level assessment revealed that 66.67% of the highest risk potential was due to noise.Keywords:JobSafety Analysis;Occupational Safety and Health; Industrial Engineering Design Practicum II

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4-Wheel Independent in-wheel-motor Drive and Independent Steering Electric Vehicle safety analysis method based on mass re-distribution experiment

2015 6th International Conference on Automation, Robotics and Applications (ICARA) ◽

10.1109/icara.2015.7081120 ◽

2015 ◽

Cited By ~ 3

Author(s):

Ziming Qi ◽

Xu Zhao ◽

Kuang Ma ◽

Matthew King ◽

Wei-Chen Lee ◽

...

Keyword(s):

Electric Vehicle ◽

Safety Analysis ◽

Vehicle Safety ◽

Motor Drive ◽

Analysis Method

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System Safety Analysis Method Based on Real-Time Online Risk Monitoring Technology

Volume 2: Plant Systems, Structures, Components, and Materials; Risk Assessments and Management ◽

10.1115/icone26-82563 ◽

2018 ◽

Author(s):

Sijuan Chen ◽

Zhijian Zhang ◽

He Wang ◽

Min Zhang ◽

Huazhi Zhang ◽

...

Keyword(s):

Real Time ◽

Dynamic Characteristics ◽

Safety Analysis ◽

System Component ◽

Analysis Method ◽

System Safety ◽

Monitoring Technology ◽

The Real ◽

Online Risk ◽

Risk Monitoring

In the continuous operation process of Nuclear Power Plant (NPP), its configuration is full of variety over time because of the system’s dynamic characteristics. There is a great need to update the risk/safety analysis models when it becomes necessary to reflect those dynamic characteristics of the system/component. Most of the current methods for risk/safety analysis belong to the scope of safety pre-analyzing, which analyzes the system risk/safety before system being in service. The main purpose of these safety pre-analyzing is to guide system design and optimization, but the real-time operational risk/safety analysis of NPPs is considered little. In order to know well the real-time risk/safety for system, a System Safety Analysis Method based on Real-time Online Risk Monitoring Technology is proposed. The safety risk model is established based on the modular fault tree that is used to represent logic structure of system. The real-time risk/safety is monitored according to the correspondence monitoring signal or data of component/system. Simultaneously the method can account for the change of risks based on the established mapping relationship between the state transition rules and corresponding risk/safety model updating rules. Finally, a case monitoring the safety for the system of two redundant pumps was used to demonstrate the effectiveness of the method.

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