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Investigation of Work Accidents in Underground and Surface Coal Mining Activities of Western Lignite Corporation by Data Envelopment Analysis (DEA)

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Abstract

The mining sector is one of the leading sectors where work accidents are most intense because of the constant change of work environment and heavy working conditions. The losses and the halt of production after the accident negatively affect productivity and production efficiency. It has been found that there are very few studies on the use of Data Envelopment Analysis (DEA), which is one of the nonparametric efficiency analysis methods, in the evaluation of mining sector occupational accidents. According to parametric activity measurement methods, it has been tried to show that the DEA can also offer the opportunity to interpret work accidents by taking advantage of its advantages. Due to the application of open-pit mining methods along with underground working techniques which increase the risk factors with respect to accidents at work that occurred between 2012 and 2018 of Western Lignite Corporation (WLC) were tried to be analyzed in the present work. As a result of the analytical work using Data Envelopment Analysis (DEA) for the years 2014, 2015, 2016, 2017, and 2018, inefficiency has been determined in both underground and surface operations. According to the results obtained, it was determined that WLC could not produce enough production in both the underground and surface coal mining operation, despite the accidents that occurred, while it had the opportunity to produce more. In addition, it was found that the increase in accidents occurred more than the increase in the amount of production during the years studied.

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References

  1. Kasap Y (2011) The effect of work accidents on the efficiency of production in the coal sector. S Afr J Sci 107(5/6):1–9. https://doi.org/10.4102/sajs.v107i5/6.513

    Article  Google Scholar 

  2. Charnes A, Cooper W, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444. https://doi.org/10.1016/0377-2217(78)90138-8

    Article  MathSciNet  MATH  Google Scholar 

  3. Farrel MJ (1957) The measurement of productivity efficiency. J R Stat Soc 120:253–290. https://doi.org/10.2307/2343100

    Article  Google Scholar 

  4. Tong L, Ding R (2008) Efficiency assessment of coal mine safety input by data envelopment analysis. J China Univ Min Technol 18:0088–0092. https://doi.org/10.1016/S1006-1266(08)60019-X

    Article  Google Scholar 

  5. Shu-Ming W (2011) Evaluation of safety input-output efficiency of coal mine based on dea model. First International Symposium on Mine Safety Science and Engineering. Procedia Eng 26:2270–2277. https://doi.org/10.1016/j.proeng.2011.11.2434

    Article  Google Scholar 

  6. Kecojevic V, Komljenovic D, Groves W, Radomsky M (2007) An analysis of equipment-related fatal accident in U.S. mining operations: 1995-2005. Saf Sci 45:864–874. https://doi.org/10.1016/j.ssci.2006.08.024

    Article  Google Scholar 

  7. Sarı M, Düzgün HSB, Karpuz C, Selçuk AS (2004) Accident analysis of two Turkish underground coal mines. Saf Sci 42:675–690. https://doi.org/10.1016/j.ssci.2003.11.002

    Article  Google Scholar 

  8. Grosskopf S (1986) The role of the reference technology in measuring productive efficiency. Econ J 96(382):499–513. https://doi.org/10.2307/2233129

    Article  Google Scholar 

  9. Kasap Y (2008) Coal mining efficiency and productivity growth in Turkey: data envelopment analysis. Dissertation, Eskişehir Osmangazi University (in Turkish with English Abstract)

  10. Seiford LM (1996) Data envelopment analysis: the evolution of the state of the art (1978–1995). J Prod Anal 7:99–137. https://doi.org/10.1007/BF00157037

    Article  Google Scholar 

  11. Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30(9):1078–1092. https://doi.org/10.1287/mnsc.30.9.1078

    Article  MATH  Google Scholar 

  12. Aydemir ZC (2002) Resource utilization efficiency of provinces in the scope of regional competitiveness: DEA application. Dissertation, State Planning Organization (in Turkish with English abstract)

  13. Tarim A (2001) Data envelopment analysis: mathematical programming based relative efficiency measurement approach. Turkish Court of Accounts, Ankara (in Turkish)

  14. Al-Shammari M (1999) Optimization modelling for estimating and enhancing relative efficiency with application to industrial companies. Eur J Oper Res 115:488–496. https://doi.org/10.1016/S0377-2217(98)00025-3

    Article  MATH  Google Scholar 

  15. Aritan AE, Ataman M (2017) Work accident analysis with accident ratio calculations. AKU-J Sci Eng​ 17:239–246 (in Turkish with English abstract). https://doi.org/10.5578/fmbd.51762

    Article  Google Scholar 

  16. Balci B, Balci MO, Tackin E, Yerden EA (2013) Financial loss at work accidents. J Soc Sci:72–74

  17. Bayraktar B, Uygucgil H, Konuk A (2017) Statistical analysis of work accidents in Turkey mining sector. Int. Symposium on Occupational Health & Safety in Mines 147-159, 2-3 November, Adana-Turkey

  18. Erginel N, Toptanci S (2017) Modelling of occupational accident data with probability distributions. J Eng Des 5:201–212 (in Turkish with English abstract). https://doi.org/10.21923/jesd.20116

    Article  Google Scholar 

  19. Sensogut C, Oren O, Kasap Y (2019) Analysis of the recent occupational accidents occurred at Western Lignite Corporation (Turkey) by data envelopment analysis. Int J Occup Environ Saf 3(3):34–43. https://doi.org/10.24840/2184-0954_003.003_0004

    Article  Google Scholar 

  20. Coelli TJ (1996) A guide to deap version 2.1: a data envelopment analysis (computer) program. University of New England

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Acknowledgements

We would like to thank the authorities of the Western Lignite Corporation for their valuable understanding of the data provided during the work undertaken.

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The authors did not receive support from any organization for the submitted work.

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Authors and Affiliations

  1. Engineering Faculty, Mining Engineering Department, Kütahya Dumlupinar University, 43100, Kütahya, Turkey

    Cem Şensöğüt, Yaşar Kasap & Özer Ören

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  1. Cem Şensöğüt
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  2. Yaşar Kasap
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  3. Özer Ören
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The authors contributed to the manuscript on an equal basis.

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Correspondence to Özer Ören.

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Şensöğüt, C., Kasap, Y. & Ören, Ö. Investigation of Work Accidents in Underground and Surface Coal Mining Activities of Western Lignite Corporation by Data Envelopment Analysis (DEA). Mining, Metallurgy & Exploration 38, 1973–1983 (2021). https://doi.org/10.1007/s42461-021-00448-1

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