FALLING-DOWN PREVENTION STRATEGY BY UNSAFE SCENARIO STATISTICS AND FAULT TREE ANALYSIS

• Main Authors: Meng-Yi Hung, 洪孟毅
• Other Authors: Jia-Ming Chern
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/39273303756691496305

碩士 === 大同大學 === 工程管理碩士在職專班 === 101 === Although falling down accidents resulting in serious occupational injuries have various types, but there exist essentially known risky situations. In the past years, a lot of researches were performed to prevent falling down, but the reduction of casualties due to falling down was quite limited because too many causes were considered but too few unsafe scenarios were analyzed and identified. This study collected and analyzed the falling down accident data, from 2007 to 2011, of the construction industries in Taiwan to analyze the unsafe situations and job factors. All the collected data were sorted, classified, and statistically analyzed to identify the unsafe situations leading to falling down accidents for the Fault-Tree analysis methodology was employed to construct falling down as the top event. Collection of actual cases for statistical analysis helps understand the potential occupational accidents and annual failure rate with high trueness. The analysis of crucial unsafe scenario through cause-and-effect diagram helps develop falling-down prevention strategy in the future.