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Analysis of container terminal accidents using fuzzy c-means

Year 2022, Volume: 5 Issue: 1, 109 - 115, 28.04.2022
https://doi.org/10.51513/jitsa.1095412

Abstract

Maritime transportation is the key element of global trade in recent years. Moreover, container shipping companies aim to complete door-to-door cargo operation with lower costs and increased speed. Determination of delays and possible accidents play vital role on cargo transportation process in a container terminal. In this scope, 65 container terminal accident reports are evaluated with Fuzzy C-means method to cluster within scope of root cause analysis. Three, four, and five number of clusters are created to determine possible causes of accidents. Two container terminals located in Turkey have diverse cargo operation capacity such as mobile and quay cranes. Accident cases are grouped in the view of relation of operations as cargo and port. Port related accidents are found mainly as related with maintenance processes. and occurred in weekdays. On the other hand, cargo related accidents occurred in weekends and during night shifts. In this scope, the results revealed that Fuzzy C-Means method could be used to analyse container terminal accidents.

References

  • Budiyanto, M. A., & Fernanda, H. (2020). Risk Assessment of Work Accident in Container Terminals Using the Fault Tree Analysis Method. Journal of Marine Science and Engineering 2020, Vol. 8, Page 466, 8(6), 466.
  • Ding, J. F., & Tseng, W. J. (2013). Fuzzy risk assessment on safety operations for exclusive container terminals at Kaohsiung port in Taiwan: Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 227(2), 208–220.
  • John, A., Paraskevadakis, D., Bury, A., Yang, Z., Riahi, R., & Wang, J. (2014). An integrated fuzzy risk assessment for seaport operations. Safety Science, 68, 180–194.
  • Khan, R. U., Yin, J., Mustafa, F. S., & Ahmad Farea, A. O. (2022). A data centered human factor analysis approach for hazardous cargo accidents in a port environment. Journal of Loss Prevention in the Process Industries, 75, 104711.
  • Khorram, S. (2020). A novel approach for ports’ container terminals’ risk management based on formal safety assessment: FAHP-entropy measure—VIKOR model. Natural Hazards 2020 103:2, 103(2), 1671–1707.
  • Mokhtari, K., Ren, J., Roberts, C., & Wang, J. (2012). Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach. Expert Systems with Applications, 39(5), 5087–5103. Mollaoğlu, M., Bucak, U., & Demirel, H. (2019). A Quantitative Analysis of the Factors That May Cause Occupational Accidents at Ports. Journal of ETA Maritime Science, 7(4), 294–303.
  • Özdemir, Ü. (2016). Investigation of occupational accidents occurred in ports by using fuzzy DEMATEL and fuzzy TOPSIS methods. Journal of ETA Maritime Science, 4(3), 235–247.
  • Qiao, W., Liu, Y., Ma, X., & Liu, Y. (2020). Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network. Risk Analysis, 40(5), 957–980.
  • Sha, M. (2020). A study of the human factors in maritime safety. World Maritime University.
  • Sur, J. M., & Kim, D. J. (2020). Comprehensive risk estimation of maritime accident using fuzzy evaluation method – Focusing on fishing vessel accident in Korean waters. The Asian Journal of Shipping and Logistics, 36(3), 127–135.
  • Wang, H., Liu, Z., Wang, X., Graham, T., & Wang, J. (2021). An analysis of factors affecting the severity of marine accidents. Reliability Engineering & System Safety, 210, 107513.

Bulanık C-ortalama kümeleme algoritması ile konteyner terminali kaza analizi

Year 2022, Volume: 5 Issue: 1, 109 - 115, 28.04.2022
https://doi.org/10.51513/jitsa.1095412

Abstract

Deniz taşımacılığı, son yıllarda küresel ticaretin kilit unsuru olarak görülmektedir. Ayrıca konteyner taşımacılığı yapan denizcilik şirketleri, kapıdan kapıya kargo operasyonunu daha düşük maliyetler ve artan hızlar ile tamamlamayı hedeflemektedir. Konteyner terminalinde kargo taşımacılığı sürecinde gecikmelerin ve olası kazaların tespiti hayati önem taşımaktadır. Bu kapsamda 65 konteyner terminali kaza raporu, Bulanık C-ortalama kümeleme algoritması ile kök neden analizi kapsamında kümelenerek değerlendirilmiştir. Olası kaza nedenlerini belirlemek için üç, dört ve beş adet küme oluşturulmuştur. Türkiye'de bulunan iki konteyner terminali mobil ve rıhtım vinçleri gibi farklı kargo operasyon kapasitelerine sahiptir. Kaza vakaları, operasyonların ilişkisine göre kargo ve liman olarak gruplandırılmıştır. Limanla ilgili kazalar daha çok bakım süreçleriyle ilgili olarak bulunmuştur ve hafta içi meydana geldiği görülmüştür. Öte yandan, hafta sonu ve gece saatlerinde kargo ile ilgili kazalar meydana geldiği çalışma sonucunda elde edilmiştir. Bu kapsamda, sonuçlar Bulanık C-ortalama kümeleme algoritmasının konteyner terminal kazalarını analiz etmek için kullanılabileceğini ortaya koymuştur.

References

  • Budiyanto, M. A., & Fernanda, H. (2020). Risk Assessment of Work Accident in Container Terminals Using the Fault Tree Analysis Method. Journal of Marine Science and Engineering 2020, Vol. 8, Page 466, 8(6), 466.
  • Ding, J. F., & Tseng, W. J. (2013). Fuzzy risk assessment on safety operations for exclusive container terminals at Kaohsiung port in Taiwan: Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 227(2), 208–220.
  • John, A., Paraskevadakis, D., Bury, A., Yang, Z., Riahi, R., & Wang, J. (2014). An integrated fuzzy risk assessment for seaport operations. Safety Science, 68, 180–194.
  • Khan, R. U., Yin, J., Mustafa, F. S., & Ahmad Farea, A. O. (2022). A data centered human factor analysis approach for hazardous cargo accidents in a port environment. Journal of Loss Prevention in the Process Industries, 75, 104711.
  • Khorram, S. (2020). A novel approach for ports’ container terminals’ risk management based on formal safety assessment: FAHP-entropy measure—VIKOR model. Natural Hazards 2020 103:2, 103(2), 1671–1707.
  • Mokhtari, K., Ren, J., Roberts, C., & Wang, J. (2012). Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach. Expert Systems with Applications, 39(5), 5087–5103. Mollaoğlu, M., Bucak, U., & Demirel, H. (2019). A Quantitative Analysis of the Factors That May Cause Occupational Accidents at Ports. Journal of ETA Maritime Science, 7(4), 294–303.
  • Özdemir, Ü. (2016). Investigation of occupational accidents occurred in ports by using fuzzy DEMATEL and fuzzy TOPSIS methods. Journal of ETA Maritime Science, 4(3), 235–247.
  • Qiao, W., Liu, Y., Ma, X., & Liu, Y. (2020). Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network. Risk Analysis, 40(5), 957–980.
  • Sha, M. (2020). A study of the human factors in maritime safety. World Maritime University.
  • Sur, J. M., & Kim, D. J. (2020). Comprehensive risk estimation of maritime accident using fuzzy evaluation method – Focusing on fishing vessel accident in Korean waters. The Asian Journal of Shipping and Logistics, 36(3), 127–135.
  • Wang, H., Liu, Z., Wang, X., Graham, T., & Wang, J. (2021). An analysis of factors affecting the severity of marine accidents. Reliability Engineering & System Safety, 210, 107513.
There are 11 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Üstün Atak 0000-0002-1513-7371

Early Pub Date April 20, 2022
Publication Date April 28, 2022
Submission Date March 29, 2022
Acceptance Date April 10, 2022
Published in Issue Year 2022 Volume: 5 Issue: 1

Cite

APA Atak, Ü. (2022). Analysis of container terminal accidents using fuzzy c-means. Akıllı Ulaşım Sistemleri Ve Uygulamaları Dergisi, 5(1), 109-115. https://doi.org/10.51513/jitsa.1095412