Innovative Approaches to Preventing Major Industrial Accidents: A Comprehensive Custom Risk-Specific HSSEQ Management Framework

Zeynep Bahar; Duygu Bilgen Havva; Sarioguz Orcun

doi:10.18535/ijsrm/v13i06.c04

Abstract

The problem of industrial accidents is still one of the most worrying issues in the global context, where each year, workplace accidents take more than 2.3 million lives and bring extensive financial losses. The study establishes new mechanisms of prevention of major industrial accidents using an extensive Health, Safety, Security, Environment, and Quality (HSSEQ) management concept. The research combines behavior-based safety systems, new digital technologies, and tailor-made protocols that are specific to a risk. By analyzing implementation data collected in various industrial branches, the study will show that the implementation of this system can bring the total number of workplace incidents down to 96 percent and save millions of dollars, as it amounts to USD 1.7 million on average when 200,000 work hours are performed. The results indicate that it is possible to integrate digital solutions with the principles of behavioral science to make the safety management system more resilient and responsive, which can help overcome complex risks present within industries.

Keywords

industrial accident preventioninnovative safety management strategiesproactive hazard identificationhigh-risk industry safety systemscustom risk managementoperational safety excellence 1

References

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[refR-1] Al-Shbail, T. (2020). The impact of risk management on revenue protection: an empirical evidence from Jordan customs. Transforming Government: People, Process and Policy, 14(3), 453–474. https://doi.org/10.1108/TG-02-2020-0025DOI ↗Google Scholar ↗

[refR-2] Azizi, M. R., Atlasi, R., Ziapour, A., Abbas, J., & Naemi, R. (2021). Innovative human resource management strategies during the COVID-19 pandemic: A systematic narrative review approach. Heliyon, 7(6). https://doi.org/10.1016/j.heliyon.2021.e07233DOI ↗Google Scholar ↗

[refR-3] Brunetto, Y., Saheli, N., Dick, T., & Nelson, S. (2022). Psychosocial Safety Climate, Psychological Capital, Healthcare SLBs’ Wellbeing and Innovative Behaviour During the COVID 19 Pandemic. Public Performance and Management Review, 45(4), 751–772. https://doi.org/10.1080/15309576.2021.1918189DOI ↗Google Scholar ↗

[refR-4] Fedotov, O., & Zotenko, O. (2020). Risk management in customs inspection of goods. Lex Portus, 3(23), 79–94. https://doi.org/10.26886/2524-101X.3.2020.5DOI ↗Google Scholar ↗

[refR-5] Hamad, G. M., Mehany, T., Simal-Gandara, J., Abou-Alella, S., Esua, O. J., Abdel-Wahhab, M. A., & Hafez, E. E. (2023, February 1). A review of recent innovative strategies for controlling mycotoxins in foods. Food Control. Elsevier Ltd. https://doi.org/10.1016/j.foodcont.2022.109350DOI ↗Google Scholar ↗

[refR-6] Heinrich, H. W. (1941). Industrial Accident Prevention. Social Service Review. McGraw-Hill Book Company, Inc.Google Scholar ↗

[refR-7] Jeon, J. H., & Cai, H. (2022). A Framework for EEG-Based Ubiquitous Hazard Identification and Proactive Safety Management. In Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022 (Vol. 2-B, pp. 145–153). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784483961.016DOI ↗Google Scholar ↗

[refR-8] Kang, S. Y., Min, S., Won, D., Kang, Y. J., & Kim, S. (2021). Suggestion of an improved evaluation method of construction companies’ industrial accident prevention activities in south korea. International Journal of Environmental Research and Public Health, 18(16). https://doi.org/10.3390/ijerph18168442DOI ↗Google Scholar ↗

[refR-9] Kang, Y. S., Yang, S. H., Kim, T. G., & Kim, D. S. (2012). Systematic strategies for the third industrial accident prevention plan in Korea. Industrial Health, 50(6), 567–574. https://doi.org/10.2486/indhealth.2012-0048DOI ↗Google Scholar ↗

[refR-10] Hudson, P. (2003, December). Applying the lessons of high risk industries to health care. Quality and Safety in Health Care. https://doi.org/10.1136/qhc.12.suppl_1.i7DOI ↗Google Scholar ↗

[refR-11] Liu, H., Jazayeri, E., & Dadi, G. B. (2017). Establishing the Influence of Owner Practices on Construction Safety in an Operational Excellence Model. Journal of Construction Engineering and Management, 143(6). https://doi.org/10.1061/(asce)co.1943-7862.0001292DOI ↗Google Scholar ↗

[refR-12] Liu, M., & Liao, P. C. (2019). Integration of hazard rectification efficiency in safety assessment for proactive management. Accident Analysis and Prevention, 129, 299–308. https://doi.org/10.1016/j.aap.2019.05.020DOI ↗Google Scholar ↗

[refR-13] McDermott, O., Antony, J., & Douglas, J. (2021). Exploring the use of operational excellence methodologies in the era of COVID-19: perspectives from leading academics and practitioners. TQM Journal, 33(8), 1647–1665. https://doi.org/10.1108/TQM-01-2021-0016DOI ↗Google Scholar ↗

[refR-14] Saeed, B., Tasmin, R., Mahmood, A., & Hafeez, A. (2022). Development of a multi-item Operational Excellence scale: Exploratory and confirmatory factor analysis. TQM Journal, 34(3), 576–602. https://doi.org/10.1108/TQM-10-2020-0227DOI ↗Google Scholar ↗

[refR-15] Shubailat, O. M., Al-Zaqeba, M. A. A., Madi, A., & Ababneh, A. M. (2024). Customs intelligence and risk management in sustainable supply chain for general customs department logistics. Uncertain Supply Chain Management, 12(1), 387–398. https://doi.org/10.5267/j.uscm.2023.9.013DOI ↗Google Scholar ↗

[refR-16] Smith, M. R., & Eastman, C. I. (2012). Shift work: Health, performance and safety problems, traditional countermeasures, and innovative management strategies to reduce circadian misalignment. Nature and Science of Sleep. https://doi.org/10.2147/NSS.S10372DOI ↗Google Scholar ↗

[refR-17] Song, S., & Awolusi, I. (2021). Industrial Safety Management Using Innovative and Proactive Strategies. In Concepts, Applications and Emerging Opportunities in Industrial Engineering. IntechOpen. https://doi.org/10.5772/intechopen.93797DOI ↗Google Scholar ↗

[refR-18] Ta, M. T. D., Kim, T. eun, & Gausdal, A. H. (2022). Leadership styles and safety performance in high-risk industries: a systematic review. Safety and Reliability, 41(1), 10–44. https://doi.org/10.1080/09617353.2022.2035627DOI ↗Google Scholar ↗

[refR-19] Trakulsunti, Y., Antony, J., Jayaraman, R., & Tortorella, G. (2023). The application of operational excellence methodologies in logistics: a systematic review and directions for future research. Total Quality Management and Business Excellence, 34(5–6), 538–557. https://doi.org/10.1080/14783363.2022.2071695DOI ↗Google Scholar ↗

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[refR-21] Yi, K. H., & Lee, S. S. (2016). A Policy Intervention Study to Identify High-Risk Groups to Prevent Industrial Accidents in Republic of Korea. Safety and Health at Work, 7(3), 213–217. https://doi.org/10.1016/j.shaw.2015.12.007DOI ↗Google Scholar ↗

[refR-22] Zhong, B., Li, H., Luo, H., Zhou, J., Fang, W., & Xing, X. (2020). Ontology-Based Semantic Modeling of Knowledge in Construction: Classification and Identification of Hazards Implied in Images. Journal of Construction Engineering and Management, 146(4). https://doi.org/10.1061/(asce)co.1943-7862.0001767DOI ↗Google Scholar ↗