@article{ref1,
title="Key factors identification and dynamic fuzzy assessment of health, safety and environment performance in petroleum enterprises",
journal="Safety science",
year="2017",
author="Yan, Lunjiang and Zhang, Laibin and Liang, Wei and Li, Weijun and Du, Min",
volume="94",
number="",
pages="77-84",
abstract="Performance evaluation of Health, Safety and Environment (HSE) in large petroleum corporation is an indispensable way of strengthening safety management and promoting continuous improvement. It is also a tool for petroleum enterprises to measure their HSE performance levels. As HSE has been applied in petrochemical fields for decades, it is always time-consuming to assess HSE performance because there are so many evaluation indicators. In order to evaluate HSE performance efficiently, Spearman's correlation coefficient method is applied to identify the key HSE performance factors based on historical data for the first time. Besides, conventional scoring method is too cursory and arbitrary by simply grading according to total scores of all indicators. An improved fuzzy comprehensive evaluation method is proposed to address this problem, as well as improve the predictability of HSE performance trends based on dynamic fuzzy theory. Finally, the HSE performance evaluation of gas transmission field is chosen as a case to illustrate the effectiveness of the method and a comparison with traditional fuzzy comprehensive evaluation method is made.<p /> <p>Language: en</p>",
language="en",
issn="0925-7535",
doi="10.1016/j.ssci.2016.12.022",
url="http://dx.doi.org/10.1016/j.ssci.2016.12.022"
}