Principles of Building an Effective Waste Sorting System at Industrial Enterprises
Sveida Aivars , Founder & СЕО ZALAIS CIKLS & GREEN PLASTICS Latvia, RigaAbstract
The article discusses the problem of building an effective waste sorting system at industrial enterprises through the lens of relevant principles. Against the backdrop of natural resource depletion and stricter environmental legislation, the transformation of waste material from an expense item into a valuable secondary resource is becoming not just an opportunity but a strategic link. The relevance of the study is justified by the need to move from fragmented solutions to the creation of holistic management systems. The goal is to characterize and substantiate a multi-component model for building an effective sorting system in industrial enterprises, which integrates technological, logistical, managerial, and cultural aspects. During the literature review, a contradiction was identified: most studies focus either on technological automation, presenting it as a self-sufficient solution, or on general managerial concepts (missing out on specific implementation barriers and, most importantly, the role of the human factor). The author concludes that maximum efficiency and economic return are achieved not solely through advanced equipment, but through the synergy of four key elements: a thorough audit of waste streams, well-chosen technologies, optimized internal logistics, and a purposefully developed corporate culture of responsibility. The author's contribution lies in shifting the focus from a purely technical to a comprehensive, organizational, and technological approach, and in developing specific, practically applicable recommendations for involving personnel, an aspect that remains undeservedly on the periphery of scientific research. The presented materials will be useful for industrial managers, process engineers, environmental specialists, and lean management professionals.
Keywords
waste audit, key performance indicators (KPIs), corporate culture, industrial waste, waste management, circular economy
References
UNEP (United Nations Environment Programme). (2024). Beyond an age of waste: Turning rubbish into a resource. Global Waste Management Outlook 2024. Retrieved from https://www.developmentaid.org/api/frontend/cms/file/2025/08/global_waste_management_outlook_2024.pdf.
Graham, E. (2026). Global waste management trends & statistics. Waste Direct. Retrieved from https://wastedirect.co.uk/guides/global-waste-management-trends/.
Kiyokawa, T., Takamatsu, J., & Koyanaka, S. (2024). Challenges for future robotic sorters of mixed industrial waste: A survey. IEEE Transactions on Automation Science and Engineering, 21(1), 1023–1040. https://www.researchgate.net/publication/365865218_Challenges_for_Future_Robotic_Sorters_of_Mixed_Industrial_Waste_A_Survey .
Mishra, D. (2024). Sustainability in solid waste management to reduce environmental impact and improve resource efficiency. International Journal of Research and Review in Applied Science, Humanities, and Technology, 67–75. https://www.semanticscholar.org/paper/Sustainability-in-Solid-Waste-Management-to-Reduce-Mishra/ecc00c0c81c5e939c107b0871b8d01a0c79c0bd0.
Naqvi, S. R., Beig, B., & Naqvi, M. (2021). Circular economy approach to address the industrial solid waste management. In Handbook of Solid Waste Management (pp. 1–20). Springer Singapore. https://www.researchgate.net/publication/367881204_Circular_Economy_Approach_to_Address_the_Industrial_Solid_Waste_Management.
Ponni, R., Sharmila, R., Jayasankar, T., et al. (2024). Enhancing environmental sustainability: Extreme learning machine approach to industrial waste management. Journal of Environmental Nanotechnology, 13(2), 220–228. https://nanoient.org/journals/index.php/jent/article/view/1106.
Prasher, S., & Nelson, L. (2024). Multi-class waste segregation using EfficientNetb3 model through waste segregation dataset. In Proceedings of the 7th International Conference on Circuit Power and Computing Technologies (ICCPCT) (pp. 691–696). IEEE. https://ieeexplore.ieee.org/document/10672885.
Sindhu, R. K., Kaur, G., & Kaur, A. (2019). Industrial waste management system. In Zero Waste (pp. 115–130). CRC Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9780429059247-8/industrial-waste-management-system-rakesh-sindhu-gagandeep-kaur-arashmeet-kaur.
Thongkong, S., Worawattanaparinya, S., & Silpcharu, T. (2022). Guidelines for effective industrial waste management of the industrial business sectors. Asian Journal of Water, Environment and Pollution, 19(3), 51–57. https://www.researchgate.net/publication/360582418_Guidelines_for_Effective_Industrial_Waste_Management_of_the_Industrial_Business_Sectors.
Yang, T., Yang, J., Fang, H., et al. (2024). Development of an intelligent waste sorting system of low-value recyclable waste in Xiamen. Proceedings of the Institution of Civil Engineers – Waste and Resource Management, 177(3), 154–166. https://www.researchgate.net/publication/376674283_Development_of_intelligent_waste_sorting_system_a_case_study_of_low-value_recyclable_waste_in_Xiamen
Kovalchuk, A. (2025). Complex model of business consulting for small and medium-sized enterprises: Theory, methodology and practice of implementation. Kyiv: Internauka Publishing House, 90 p. https://doi.org/10.25313/Kovalchuk-Monograph-2025-90
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