Skip to main content

Research on the Evaluation of Electric Power Companies’ Safety Capabilities Based on Grey Fixed Weight Clustering

  • Conference paper
  • First Online:
Smart Service Systems, Operations Management, and Analytics (INFORMS-CSS 2019)

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Included in the following conference series:

Abstract

With the development of power grid and the widespread use of power, the impact of power safety is becoming more and more important. Meanwhile, Internet and Internet of Things have both provided new technical and management ideas for power safety. Combining literature research and field investigation on safety management of Jiangsu Electric Power Company, this paper focuses on solving the problem of electric power companies’ safety capabilities . First, based on the idea of data-driven management and decision-making, power safety risks are identified according to electric power companies’ actual business situation and therefore, safety capability evaluation index system is created. Second, the weight of each indicator is determined according to the proportion of safety risks in historical accidents. Finally, considering the problem of information lack in electric power safety management in China, this paper uses Grey Fixed Weight Clustering Theory including determining thresholds of each indicator and constructing whitening weight functions to make an evaluation of electric power companies’ safety capabilities which could help managers learn about their own existing safety levels and provide them a reference for future decisions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. J.D. Koustellis, S.D. Anagnostatos, Contact of heavy vehicles with overhead power lines. Saf. Sci. 49(6), 951–955 (2011)

    Article  Google Scholar 

  2. Y.B. Li, Y. Han, Research on impact model of meteorological factors on the power accidents. Power Syst. Technol. 37(6), 1683–1687 (2013)

    Google Scholar 

  3. J.D. Koustellis, C.D. Halevidis, Analysis of a fatal electrical injury due to improper switch operation. Saf. Sci. 53, 226–232 (2013)

    Article  Google Scholar 

  4. A. Williamson, A.M. Feyer, The causes of electrical fatalities at work. J. Saf. Res. 29(3), 187–196 (1998)

    Article  Google Scholar 

  5. C.Y. Qu, J. Liu, Safety situation assessment model of power enterprise based on human factor. Adv. Technol. Electr. Eng. Energy 33(10), 76–80 (2014)

    Google Scholar 

  6. J.C. Cawley, G.T. Homce, Occupational electrical injuries in the United States, 1992–1998, and recommendations for safety research. J. Saf. Res. 34(3), 241–248 (2003)

    Article  Google Scholar 

  7. R. Liu, Problems and solutions in electric power production safety management. Coal Technol. 32(11), 88–89 (2013)

    Article  Google Scholar 

  8. Y.L. Li, Power grid security management based on risk theory. Sci. Technol Progress Policy 27(18), 96–99 (2010)

    Google Scholar 

  9. R. Rajesh, V. Ravi, Supplier selection in resilient supply chains: a grey relational analysis approach. J. Clean. Prod. 86, 343–359 (2015)

    Article  Google Scholar 

  10. Y.G. Dang, S.F. Liu, Optimization of Regional Industrial Structures and Applications (CRC Press, Boca Raton, US, 2010)

    Book  Google Scholar 

  11. C. Hamzacebi, A.E. Huseyin, Forecasting the annual electricity consumption of turkey using an optimized grey model. Energy 70, 165–171 (2014)

    Article  Google Scholar 

  12. X.F. Tian, F. Chen, Y.L. Chen, Grey relational analysis on the influencing factors of China’s comprehensive grain production capacity, in 1st International Conference on Industrial Economics and Industrial Safety (Springer, Heidelberg, 2014), pp. 387–391

    Google Scholar 

  13. P.H. Hsin, C. Chen, The evolution of grey forecasting and its application on stock price prediction. Stock Forex Trading 3(3), 1–2 (2014)

    Google Scholar 

  14. H.G. Xie, S.K. Wang, Qualified kidney biomarkers and their potential significance in drug safety evaluation and prediction. Pharmacol. Ther. 137(1), 100–107 (2013)

    Article  Google Scholar 

  15. Y.Y. Zhao, Y.S. Pei, Risk evaluation of groundwater pollution by pesticides in China: a short review. Procedia Environ. Sci. 13, 1739–1747 (2012)

    Article  Google Scholar 

  16. J.F. Fu, G.Y. Zhuang, Conceptual identification and evaluation index system for low carbon economy. China Popul. Resour. Environ. 20(8), 38–43 (2010)

    Google Scholar 

  17. Y.D. Li, The Construction and Empirical Study of the Performance Assessment and Evaluation System of the Leading Group in China’s Insurance Industry: A Case Study of T Company (Shandong University, Shandong, China, 2018)

    Google Scholar 

  18. L. Chong, K.J. Chen, An integrated framework for effective safety management evaluation: application of an improved grey clustering measurement. Exp. Syst. Appl. 42(13), 5541–5553 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chuanmin Mi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, Y., Xu, J., Mi, C., Zhou, Z. (2020). Research on the Evaluation of Electric Power Companies’ Safety Capabilities Based on Grey Fixed Weight Clustering. In: Yang, H., Qiu, R., Chen, W. (eds) Smart Service Systems, Operations Management, and Analytics. INFORMS-CSS 2019. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-30967-1_4

Download citation

Publish with us

Policies and ethics