摘要
为了科学有效识别煤炭开采企业的潜在风险因素,文章应用传统FMEA分析方法提取了20个潜在风险因素。在此基础上,针对传统FMEA在计算RPN时不够精准、主观性较强的不足,将模糊VIKOR方法引入到煤炭开采企业潜在风险因素的最终评价中,并以某煤炭开采企业为例进行了案例分析。结果表明:1)将模糊VIKOR方法引入到潜在风险识别中,可以有效解决传统FMEA方法的不足,提高风险识别的准确度;2)FMEA和模糊VIKOR方法的科学结合是煤炭开采企业识别潜在风险的有效方法,能够为煤炭开采企业科学进行应急管理提供依据。
In order to identify the potential risk factors effectively, the traditional FMEA is used to extract 20 potential risk factors. Then, considering the insufficiency of the traditional FMEA when calculating RPN （risk priority number）, which is not precise and objective enough, fuzzy VIKOR is introduced to evaluate every risk factor. Finally, an coal mining enterprise is selected to carry out a case analysis. The result shows that fuzzy VIKOR can identify the risk more precisely and can make up for the shortcoming of traditional FMEA; and that the scientific combination of FMEA and fuzzy VIKOR is an effective method to identify the potential risk factors of coal mining enterprises, and it can provide a basis for emergency management for coal mining enterprises.
作者
荆树伟
温志芳
阎俊爱
JING Shuwei WEN Zhifang YAN Jtmai(School of Management Science and Engineering, Shanxi University of Finance ＆ Economics, Taiyuan 030006, Chin)
出处
《工业工程》
2017年第2期91-98,共8页
Industrial Engineering Journal
基金
2016年度山西省高校哲学社会科学研究资助项目(晋教科[2016]4号)
山西省社科联2015-2016年重点研究资助项目(SSKLZDKT2015038)
