A Practical Framework for Mandatory Job Safety Analysis Embedded in the Permit-to-Work System and Application to Gas Industry

スポンサーリンク

概要

• 論文の詳細を見る

• Mistakes in inspection, maintenance and work are the main causes of incidents that result in losses to plants as well as casualties of workers and neighboring residents. Thus, the permit-to-work (PTW) for safe work plays a key role in preventing incidents. The most important function of the PTW is to present various work-related potential hazards and utilize them for safety management by workers and managers. This paper presents a practical framework including detailed configurations of the hazard inventory to enable companies to implement the Job Safety Analysis (JSA) embedded in the PTW system, most appropriate for identifying hazards but difficult to be obligated due to the heavy workload from a great number of work permits. This framework is characterized by categorization of hazards into task-level and job-level and the safety management system (SMS)-linked structure for supporting JSA and sound hazard data management. Furthermore, the process of implementing this framework into a working system linked to the SMS/PTW system of KOGAS and its effective results are presented. Ultimately, this paper demonstrates a practical framework that enhances job safety and efficiency of work when implementing obligatory JSA, which should be ideally embedded in the PTW system for safety of the most polymorphic work.

著者

• Yoon En

  School Of Chemical And Biological Engineering Institute Of Chemical Processes Seoul National Univers

• Shin Dongil

  Department Of Chemical Engineering Myongji University

• Jang Namjin

  School Of Chemical And Biological Engineering Seoul National University

• YOON En

  School of Chemical and Biological Engineering, Seoul National University

• SEO Jae

  Safetia Co., Ltd.

• Oh Shin

  R&D Divison, Korea Gas Corporation

• YOON Ik

  R&D Division, Korea Gas Corporation

• OH Shin

  R&D Division, Korea Gas Corporation

• Yoon Ik

  R&D Divison, Korea Gas Corporation

関連論文

• A New Approach for Allocating Explosive Facilities in Order to Minimize the Domino Effect Using NLP
• A Practical Framework for Mandatory Job Safety Analysis Embedded in the Permit-to-Work System and Application to Gas Industry
• Scale-Space Filtering for Qualitative Interpretation of Real-Time Process Data
• A Hybrid Model for Fault Diagnosis Using Model Based Approaches and Support Vector Machine
• Multimodeling Approach for Automated Hazard Analysis of Batch Process Plants
• Optical Sensor and Neural Networks for Real-Time Monitoring and Estimation of Hazardous Gas Release Rate
• Development of Chemical Accident Classification Codes and Tool for Management in Process Industries
• Development of Dimethyl Ether Production Process Based on Biomass Gasification by Using Mixed-Integer Nonlinear Programming
• A Practical Framework for Mandatory Job Safety Analysis Embedded in the Permit-to-Work System and Application to Gas Industry

スポンサーリンク