Journals / International Journal of Engineering and Innovative Research / 2026 / Volume: 8 Issue: 1

PREDICTION OF THE NUMBER OF FATAL OCCUPATIONAL ACCIDENTS IN THE TEXTILE INDUSTRY

TEKSTİL SEKTÖRÜNDE YAŞANAN ÖLÜMLÜ İŞ KAZASI SAYILARININ TAHMİNİ

Murat Kodaloğlu(ISPARTA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0001-6644-8068
Ali İhsan Kodaloğlu(SÜLEYMAN DEMİREL ÜNİVERSİTESİ)0000-0002-0991-7988
Ecir Uğur Küçüksille(SÜLEYMAN DEMİREL ÜNİVERSİTESİ)0000-0002-3293-9878
Pages
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Publication Date
2026-06-02
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Additionally, the article briefly reviews the application of fuzzy logic over the past eight years in estimating key occupational safety indicators such as the number of accidents, number of occupational diseases, and number of deaths.

📌 3 Key Takeaways

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Objective & Hypothesis:The primary objective of this study is to identify the number of occupational accidents occurring in the Turkish textile sector, specifically within the domains of "textile manufacturing" and "apparel production." A comprehensive review of the literature reveals the absence of studies that analyze occupational health and safety risks in the Turkish textile industry using data from 2017 to 2023.
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Key Findings & Data:The ultimate aim of the study is to forecast the number of fatal workplace accidents in the textile sector for the year 2024 data that has yet to be officially released based on historical data from 2017 to 2023.
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Conclusion & Impact:Additionally, the article briefly reviews the application of fuzzy logic over the past eight years in estimating key occupational safety indicators such as the number of accidents, number of occupational diseases, and number of deaths.
🔬Design:Review & Systematic Survey
📍Scope:2017 Verileri
⚙️Variables:Occupational Accidents · Textile Industry · Apparel Manufacturing

Abstract

The primary objective of this study is to identify the number of occupational accidents occurring in the Turkish textile sector, specifically within the domains of "textile manufacturing" and "apparel production." A comprehensive review of the literature reveals the absence of studies that analyze occupational health and safety risks in the Turkish textile industry using data from 2017 to 2023. To address this gap, a data-driven fuzzy logic modeling approach was applied to accident data obtained from the Social Security Institution of Turkey (SGK). The ultimate aim of the study is to forecast the number of fatal workplace accidents in the textile sector for the year 2024 data that has yet to be officially released based on historical data from 2017 to 2023. Fuzzy logic methods were employed as the forecasting technique. The validity of these predictions will be assessed once the 2024 accident data becomes available. Additionally, the article briefly reviews the application of fuzzy logic over the past eight years in estimating key occupational safety indicators such as the number of accidents, number of occupational diseases, and number of deaths.

Özet

Bu çalışmanın amacı, "tekstil üretimi" ve "giyim eşyası üretimi" içeren Türk tekstil sektöründe yaşanan iş kazası sayılarını belirlemektir. Literatürde, 2017-2023 yılları arasındaki iş kazası kayıtlarına dayanarak Türk tekstil üretimindeki iş sağlığı ve güvenliğiyle ilgili riskleri inceleyen bir çalışma bulunmamaktadır. Literatürdeki bu boşluğu doldurmak için, Sosyal Güvenlik Kurumu’ndan alınan, kaza bilgileri, analiz etmek için veri odaklı bulanık mantık modellemesi yapılmıştır. Bu çalışmanın sonucu, Tekstil sektöründe 2017-2023 yıllarına ait veriler kullanılarak henüz verileri açıklanmamış olan 2024 yılına ait ölümlü iş kazası sayılarının tahmin edilmesi amaçlanmıştır. Tahmin yöntemi olarak bulanık mantık yöntemleri kullanılmıştır. Yapılan tahmin neticesinde 2024 yılına dair açıklanacak kaza verileriyle bulanık mantık yönteminin isabetli tahminde bulunup bulunmadığı ortaya çıkacaktır. Makale, sekiz yıldır yapılan araştırmalarda bulanık mantığın kaza sayısı, meslek hastalığı sayısı, ölüm sayısı uygulama alanını kısaca incelemektedir.

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Cite This Article

Kodaloğlu, M., Kodaloğlu, A. İ., Küçüksille, E. U. (2026). PREDICTION OF THE NUMBER OF FATAL OCCUPATIONAL ACCIDENTS IN THE TEXTILE INDUSTRY. International Journal of Engineering and Innovative Research, Volume: 8 Issue: 1. https://doi.org/10.47933/ijeir.1735002

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References (22)

  1. Markowski, A. S., Mannan, M. S., & Bigoszewska, A. (2009). Fuzzy logic for process safety analysis. Journal of loss prevention in the process industries, 22(6), 695-702.
  2. Grassi, A., Gamberini, R., Mora, C., & Rimini, B. (2009). A fuzzy multi-attribute model for risk evaluation in workplaces. Safety Science, 47(5), 707-716.
  3. Azadeh, A., Fam, I. M., Khoshnoud, M., & Nikafrouz, M. (2008). Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery. Information Sciences, 178(22), 4280-4300.
  4. Verma, S., & Chaudhari, S. (2016). Fuzzy reasoning approach (FRA) for assessment of workers safety in manganese mines. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2 (pp. 135-143). Springer Singapore.
  5. Sokolitsyn, A. S., Kovalenko, I. I., & Zvontsov, A. V. (2017, May). Production risk economic assessment based on the fuzzy logic approaches. In 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) (pp. 834-836). IEEE.
  6. Behret, H., Öztayşi, B., & Kahraman, C. (2012). A fuzzy inference system for supply chain risk management. In Practical Applications of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011) (pp. 429-438). Springer Berlin Heidelberg.
  7. Díaz-Curbelo, A., Espin Andrade, R. A., & Gento Municio, Á. M. (2020). The role of fuzzy logic to dealing with epistemic uncertainty in supply chain risk assessment: review standpoints. International Journal of Fuzzy Systems, 22(8), 2769-2791.
  8. Petrović, D. V., Tanasijević, M., Stojadinović, S., Ivaz, J., & Stojković, P. (2020). Fuzzy model for risk assessment of machinery failures. Symmetry, 12(4), 525.
  9. Ratnayake, R. C., & Antosz, K. (2017). Development of a risk matrix and extending the risk-based maintenance analysis with fuzzy logic. Procedia Engineering, 182, 602-610.
  10. Güllüoğlu, E. N., & Taçgın, E. (2018). Türkiye tekstil sektöründe istihdam ve iş kazalarının analizi. Tekstil ve Mühendis, 25(112), 344-354.
  11. Serinken, M., Türkçüer, İ., Dağlı, B., Karcıoglu, Ö., Zencir, M., & Uyanık, E. (2012). Work-related injuries in textile industry workers in Turkey. Ulusal Travma ve Acil Cerrahi Dergisi.
  12. Zengin, M. A., & Sekmen, M. (2023). Trends and future perspectives of occupational accidents in the Turkish textile industry between 2011-2020. 2023 (Volume: 30), 129.
  13. Yağımlı, M., & İZCİ, F. B. (2017). Türkiye’de makine ve teçhizatı hariç fabrikasyon metal ürünleri imalatı sektöründe yaşanan iş kazaları ve ölümlü iş kazası sayılarının tahmini. Karaelmas İş Sağlığı ve Güvenliği Dergisi, 1(1), 9-15.
  14. Güllüoğlu, E. N., & Taçgın, E. (2018). Analysis of employment and work accidents in Turkish textile sector. 2018 (Volume: 25), 112.
  15. Gholizadeh, T., Ghiasirad, H., Rostami, S., & Skorek-Osikowska, A. (2024). A biogas-fired cogeneration (cooling and power) system combined with biomethane facilities: 3E evaluation, sensitivity analyses and optimization. Environment, Development and Sustainability, 1-53.
  16. Kochanek, A., Ciuła, J., Cembruch-Nowakowski, M., & Zacłona, T. (2025). Polish Farmers′ Perceptions of the Benefits and Risks of Investing in Biogas Plants and the Role of GISs in Site Selection. Energies, 18(15), 3981.
  17. Silva, D. L. I. Design e otimização de sistemas híbridos de energia eólica e solar integrados à eletrólise a alta temperatura para produção de hidrogênio renovável (Doctoral dissertation, Universidade de São Paulo).
  18. Rad, H. N., Ghasemi, A., Akrami, M., & Golizadeh, F. (2024). Evaluating energy, exergy and economic aspects of a CO 2-free Kalina cycle cogeneration system with various solar collectors. International Journal of Low-Carbon Technologies, 19, 892-907.
  19. Cao, R., Li, W., Ni, H., Kuang, C., Liang, Y., & Fu, Z. (2025). Comprehensive assessment and optimization of a hybrid cogeneration system based on compressed air energy storage with high-temperature thermal energy storage. Frontiers in Energy, 19(2), 175-192.
  20. Oyedepo, S. O., Waheed, M. A., Abam, F. I., Dirisu, J. O., Samuel, O. D., Ajayi, O. O.,. & Babalola, P. O. (2025). A critical review on enhancement and sustainability of energy systems: perspectives on thermo-economic and thermo-environmental analysis. Frontiers in Energy Research, 12, 1417453.
  21. Francisco-Hernandez, A., Moya-Acosta, S. L., Aragón-Aguilar, A., & Carreto-Hernandez, L. G. (2025). A review of sustainable development in the harnessing geothermal and solar energy for approaching the residual heat utilization in refrigeration and district cooling systems. Discover Sustainability, 6(1), 505.
  22. Oyedepo, S. O., Waheed, M. A., Abam, F. I., Dirisu, J. O., Samuel, O. D., Ajayi, O. O.,. & Babalola, P. O. (2025). A critical review on enhancement and sustainability of energy systems: perspectives on thermo-economic and thermo-environmental analysis. Frontiers in Energy Research, 12, 1417453.