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Human Factors Analysis by Classifying Chemical Accidents into Operations

Author

Listed:
  • Esra Yalcin

    (Department of Occupational Safety, Institute of Pure and Applied Sciences, Marmara University, Istanbul 34722, Türkiye)

  • Gokcen Alev Ciftcioglu

    (Department of Chemical Engineering, Marmara University, Istanbul 34722, Türkiye)

  • Burcin Hulya Guzel

    (Ministry of Labour and Social Security, Ankara 06520, Türkiye)

Abstract

In the chemical industry, organizational and operational human factors significantly contribute to accidents. Chemical accidents occur in various operations of the industry due to a range of factors. Understanding the relationship between these factors and the accidents that happen is crucial in preventing similar accidents from happening repeatedly and promoting sustainability. Therefore, this study was divided into five operations: maintenance repair, process, loading unloading, storage, and shutdown startup of the chemical industry, to provide a more concrete, intuitive explanation of the interplay between causes and illustrate the routes to failure. The data were collected from 251 accident reports from various online data. The study was analyzed using the Human Factors Analysis and Classification System (HFACS) method as a conceptual framework. Each level’s frequency variables were obtained to define nominal and ordinal data. The chi-square test and Fisher’s exact test were used in the difference analysis of data in the model. The results show that the high-frequency accidents caused under the HFACS framework were organizational processes in the process (63.73%), in the storage (70.58%), and in the shutdown startup (91.66%), and skill-based errors in the maintenance repair (81.81%) and in the loading unloading (66.03%). Furthermore, resource management, technological environment, and personal readiness were significantly correlated with the operations. Human factors have differences in different operations in the chemical industry.

Suggested Citation

  • Esra Yalcin & Gokcen Alev Ciftcioglu & Burcin Hulya Guzel, 2023. "Human Factors Analysis by Classifying Chemical Accidents into Operations," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8129-:d:1148690
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    References listed on IDEAS

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    1. Ming-Hui Liao & Chi-Tai Wang, 2021. "Using Enterprise Architecture to Integrate Lean Manufacturing, Digitalization, and Sustainability: A Lean Enterprise Case Study in the Chemical Industry," Sustainability, MDPI, vol. 13(9), pages 1-26, April.
    2. Lizhong Tong & Zhongmin Pu & Jizheng Ma, 2019. "Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    3. Zhou, Jian-Lan & Lei, Yi, 2020. "A slim integrated with empirical study and network analysis for human error assessment in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    4. Conghua Xue & Lijun Tang, 2019. "Organisational support and safety management: A study of shipboard safety supervision," The Economic and Labour Relations Review, , vol. 30(4), pages 549-565, December.
    5. Kandemir, Cagatay & Celik, Metin, 2021. "Determining the error producing conditions in marine engineering maintenance and operations through HFACS-MMO," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    6. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    7. Zhang, Li & He, Xuhong & Dai, Li-Cao & Huang, Xiang-Rui, 2007. "The simulator experimental study on the operator reliability of Qinshan nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 252-259.
    8. Mahdieh Delikhoon & Esmaeil Zarei & Osiris Valdez Banda & Mohammad Faridan & Ehsanollah Habibi, 2022. "Systems Thinking Accident Analysis Models: A Systematic Review for Sustainable Safety Management," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    Full references (including those not matched with items on IDEAS)

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