Abstract
Safety performance assessment is the measurement of a petrochemical enterprise’s achievement in safety management. In order to receive a comprehensive and objective evaluation result, it is necessary to consider all evaluation factors and the numerical uncertainty caused by fuzziness when safety performance assessment is conducted. To improve conventional safety performance evaluation, an evaluation index system is established, and the interval number is used in this study by using interval number to quantify scores and calculate the safety level of petrochemical enterprise safety. A case of petrochemical enterprise is used to illustrate the effectiveness of the method and system. This method is applied to the comprehensive evaluation of petrochemical enterprise safety to achieve good results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Benmessaoud, T., Benazzouz, D., Benikhlef T., Mazouz L., Saadi S.: Major industrial risks assessment in chemical/petrochemical facilities. Int. J. Syst. Assur. Eng. Manag. 1–9 (2014)
Li, W., Liang, W., Zhang, L., Tang, Q.: Performance assessment system of health, safety and environment based on experts’ weights and fuzzy comprehensive evaluation. J. Loss Prev. Process Ind. 35, 95–103 (2015)
Azadeh, A., Saberi, M., Rouzbahman, M., Valianpour, F.: A neuro-fuzzy algorithm for assessment of health, safety, environment and ergonomics in a large petrochemical plant. J. Loss Prev. Process Ind. 34, 100–114 (2015)
Jing S., Liu X., Cheng C., Shang X.: A HAZOP based model for safety management risk assessment in petrochemical plants. In: Proceedings of the 11th World Congress on Intelligent Control & Automation, Shenyang, China, June 2014, pp. 3551–3555. IEEE, Washington, DC (2014)
Zhang, Q., Gao, Q., Geng, J.: New approach to multiple attribute decision making with interval numbers. J. Syst. Eng. Electron. 19, 304–310 (2008)
Zhang, Z., Tao, J.: Efficient micro immune optimization approach solving constrained nonlinear interval number programming. Appl. Intell. 43, 276–295 (2015)
Zhao H.: Research and application of interval number multiple attribute decision making. In: Proceedings of the 2009 International Symposium on Intelligent Ubiquitous Computing and Education, Chengdu, China, May 2009, pp. 65–68. ACM, New York (2009)
GDSIG (Guang Dong ShiDong Industry Group) Website. http://www.gdshidong.com/en_asp/index.asp. Accessed 14 Feb 2016
Acknowledgments
The study was supported by the National Natural Science Foundation of China (Grant No.71201026), the Project of Department of Education of Guangdong Province (No. 2013KJCX0179, No.2014KTSCX184, and No. 2014KGJHZ014), and the Dongguan Social Science and Technology Development Project (NO.2013108101011).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Guo, J., Sun, Z., Zhong, S., He, J., Huang, H., Chen, H. (2016). Petrochemical Enterprise Safety Performance Assessment Based on Interval Number. In: Huang, DS., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2016. Lecture Notes in Computer Science(), vol 9773. Springer, Cham. https://doi.org/10.1007/978-3-319-42297-8_72
Download citation
DOI: https://doi.org/10.1007/978-3-319-42297-8_72
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42296-1
Online ISBN: 978-3-319-42297-8
eBook Packages: Computer ScienceComputer Science (R0)