Determination of High Risks and Elimination of Possible Risks in the Winding Section of an Energy Company Using the Fine-Kinney Method

Abstract

In our country, risk assessment and risk analysis have been made mandatory in the workplaces by the relevant regulations of the Law No. 6331. However, despite this, potential hazards cannot be avoided both in industry and workplaces. Predicting what kind of dangers employers and employees may be exposed to in industrial companies is one of the important difficulties encountered. For this reason, it is one of the most important procedures to make a correct risk assessment and to identify, prevent and control Occupational Health and Safety (OHS) risks. One of the many techniques used for OHS risk assessment is the Fine-Kinney model. Most Fine-Kinney-based risk assessment approaches can take into account the relative importance of risk parameters. An improved Fine-Kinney occupational risk assessment approach is proposed in the study. In order to demonstrate the feasibility of the proposed approach, risk values and risk avoidance values have been systematically calculated in all parts of a power plant. A case study was conducted on the bobbin winding unit (Coiling), hazards were identified and measures were presented to eliminate and/or minimize the risk according to the results of the risk analysis.

Keywords

• “ Fine-Kinney Method
• Risk Assessment
• New Measures

References

1. [1] M. Rausand, “Risk Assessment: Theory, Methods, and Applications John Wiley & Sons.Safety and health management” Safety Science, vol. 64,p. 1–12, 2013.
2. [2] E. İlbahar, A. Karaşan, S. Cebi and C. Kahraman, “A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system”, Safety Science,vol. 103, p. 124–36. 2018.
3. [3] A. Kokangül, U. Polat and C. Dagsuyu, “A new approximation for risk assessment using the AHP and Fine Kinney methodologies”, Saf. Sci, vol. 91, p. 24–32, 2017.
4. [4] A. Adriaensen, W. Decré and L. Pintelon, “Can Complexity-Thinking Methods Contribute to Improving Occupational Safety in Industry 4.0”, A Review of Safety Analysis Methods and Their Concepts Safety.vol. 5, p. 65. 2019.
5. [5] P. Swuste, L. Goossens,F. Bakker and J. Schrover, “ Evaluation of accident scenarios in a dutch steel works using a hazard and operability study”, Safety Science, vol. 26, p. 63–74, 1997.
6. [6] S. Ishteyaque, S. Jabeen, S.H. Abro, A.A. Ghani, S. Sikandar and Q. Saim, “Hazard And Operability Study Of Gas Exploration Field Located in Pakistan”, Sındh Unıversıty Research Journal (Scıence Serıes) p.7, 2018.
7. [7] D. Komljenovic, W.A Groves and V.J. “Kecojevic Injuries in U.S. mining operations – A preliminary risk analysis “, Safety Science, vol. 46, p. 792–801, 2008.
8. [8] C-F. Chi, S-Z.,Lin and R.S. Dewi, “Graphical fault tree analysis for fatal falls in the construction industry Accident “, Analysis & Prevention, vol. 72, p.359–69, 2014.

9. [9] E. Bas, “A framework for child safety and health management by analogy to occupational,” 2014.
10. [10] P. K. Marhavilas, D. Koulouriotis and V. Gemeni, “Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009”, Journal of Loss Prevention in the Process Industries, vol, 24(5), p. 477-523, 2011.
11. [11] W. Wang, X. Liu and S. Liu, “ Failure mode and effect analysis for machine tool risk analysis using extended gained and lost dominance score method”, IEEE Trans. Reliab.vol. 69,p. 954–967,2020.
12. [12] R. Dabbagh and S. Yousefi, ” A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis”, J. Saf. Res. Vol. 71, p. 111–123, 2019.
13. [13] M. Gul, and E. Celik, “Fuzzy rule-based Fine–Kinney risk assessment approach for rail transportation systems”, Human and Ecological Risk Assessment: An International Journal, vol. 24(7), p.1786-1812, 2018.
14. [14] E. Zarei, A. Azadeh, N. Khakzad, M.M. Aliabadi and I. Mohammadfam, “ Dynamic safety assessment of natural gas stations using Bayesian network”, Journal of Hazardous Materials vol, 321,p. 830–40,2017.
15. [15] Liu, C. T., Hwang, S. L., & Lin, I. K. (2013). Safety Analysis of Combined FMEA and FTA with Computer Software Assistance–Take Photovoltaic Plant for Example. IFAC Proceedings Volumes, 46(9), 2151-2155.
16. [16] M.C. Şengöz and M. Merdan,”Fine-Kinney Risk Analizi Metoduyla, İş Yerlerinde Elektrik Nedenli Yangınların Önlenmesinde Yeni bir Yöntem”, Gazi Mühendislik Bilimleri Dergisi (GMBD), vol. 3(3), p. 74-82, 2017.
17. [17] W. Wang, X. Liu and Y. Qin, “A fuzzy Fine-Kinney-based risk evaluation approach with extended MULTIMOORA method based on Choquet integral”, Computers & Industrial Engineering, vol. 125, p.111–23, 2018.
18. [18] A. Eleren, and M. Ersoy, “Mermer blok kesim yöntemlerinin bulanık TOPSIS yöntemiyle değerlendirilmesi”, Madencilik, vol. 46(3),p. 9-22, 2007.
19. [19] A.K.E.R. Aygül, “Metal sektöründe 5x5 Matris ve Fine-Kinney yöntemi ile risk değerlendirmesi”, Karaelmas İş Sağlığı ve Güvenliği Dergisi, vol. 4(1),p. 65-75, 2020.
20. [20] J. Tang, X. Liu, and W. Wang,” A hybrid risk prioritization method based on generalized TODIM and BWM for Fine-Kinney under interval type-2 fuzzy environment”, Human and Ecological Risk Assessment: An International Journal, vol. 27(4), p. 954-979. 2021.
21. [21] V. Kuleshov, P.Y. Skuba and I.A. Ignatovich,” Assessment of the Severity of the Last Accident Based on the Fine-Kinney Method. In IOP Conference Series”: Earth and Environmental Science . vol. 720(1), 2021.
22. [22] A. Milli, S. Salman and E. Sancak, “A case of risk assessment by using Fine-Kinney method in sub-leather processing”, Usak University Journal of Engineering Sciences, vol. 4(1), p. 42-57, 2021.
23. [23] B. Bepary and G. Kabir,” Occupational risk assessment of wind turbines in Bangladesh”, Applied System Innovation, vol. 5(2), p. 34, 2022.
24. [24] Derse, O. A new approach to the Fine Kinney method with AHP based ELECTRE I and math model on risk assessment for natural disasters. J Geogr, 42,p. 155-164,2021.
25. [25] G.F. Kinney and A.D. Wiruth,” Practical risk analysis for safety management”, CA, 1976.
26. [26] Computer Software Assistance – Take Photovoltaic Plant for Example IFAC Proceedings Volumes 46, 2151–5.
27. [27] Y. Fang, M.A.K Rasel and P.C. Richmond, “ Consequence risk analysis using operating procedure event trees and dynamic simulation”, Journal of Loss Prevention in the Process Industries, vol. 67, p. 104235,2020.
28. [28] M. Gul, B. Guven and A.F. Guneri, ”A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation”, J. Loss Prevent. Proc., vol. 53, p. 3–16,2018.
29. [29] E. I., Bardyk and N. Bolotnyi.” An Analysis of Uncertainty for Failure Risk Assessment of Power Transformer. In 2022 IEEE 8th International Conference on Energy Smart Systems (ESS)”, pp. 31-35, IEEE, 2022, October.