Assessment of product quality risks by qualimetric methods using functionally dependent statistics
References
- Arroyo-Montaño, M., Erazo-Álvarez, J. & Zapata-Sánchez, P. (2025). Optimizing operational efficiency in the footwear industry through continuous audit monitoring. Revista Metropolitana de Ciencias Aplicadas, 8(2), 33-44. doi: 10.62452/09xyw841
- Aven, T. (2023). On the gap between theory and practice in defining and understanding risk. Safety Science, 168, 106325. doi: 10.1016/j.ssci.2023.106325
- Bubela, T., Michalowska, J., Hots, N., Yatsuk, V., Seheda, O., Ivanyshyn, A., Sus, B. & Kozynets, A. (2025). Risk assessment of the functioning of cyber-physical monitoring systems. In Z. Hu et al. (eds), Artificial Intelligence, Medical Engineering and Education, 65, 290-300. doi: 3233/ATDE250138
- Burduk, A. & Pihnastyi, O. (2025). Risk assessment of a production system based on a technological description model. Eksploatacja i Niezawodnosc - Maintenance and Reliability, 28(2). doi: 10.17531/ein/204577
- Cai, B., Ye, Z., Chen, S. & Liang, X. (2024). Reducing safety risks in construction tower crane operations: A dynamic path planning model. Applied Sciences, 14(22), 10599. doi: 10.3390/app142210599
- Canon, J., Broussard, T., Johnson, A., Singletary, W. & Colmenares-Diaz, L. (2022). A knowledge-based artificial intelligence approach to risk management. SPE Annual Technical Conference and Exhibition, Houston, USA. doi: 10.2118/210303-ms
- Cheng, M.-Y., Vu, Q.-T., & Teng, R.-K. (2024). Real-time risk assessment of multi-parameter induced fall accidents at construction sites. Automation in Construction, 162, 105409. doi: 10.1016/j.autcon.2024.105409
- Cherniak, O., Trishch, R., Ginevičius, R., Nechuiviter, O. & Burdeina, V. (2024). Methodology for assessing the processes of the occupational safety management system using functional dependencies. In Integrated Computer Technologies in Mechanical Engineering – 2023. Cham, Switzerland. doi: 10.1007/978-3-031-60549-9_1
- Crawford, J., & Jabbour, M. (2023). The relationship between enterprise risk management and managerial judgement in decision-making: A systematic literature review. International Journal of Management Reviews, 26(1), 110-136. doi: 10.1111/ijmr.12337
- Dyadyura, K., Slyuz, A., Vysotsky, I. Y., Bubela, T. & Cherniak, O. (2024). Decision support algorithm at the life cycle stages of medical devices based on the application of Markov process. In Integrated Computer Technologies in Mechanical Engineering – 2023. Cham, Switzerland. doi: 10.1007/978-3-031-60549-9_7
- Elmadhoun, B., Alsaidalani, R. & Burczynski, F. (2025). Quality risk management in the final operational stage of sterile pharmaceutical manufacturing: A case study highlighting the management of sustainable related risks in product sterilization, inspection, labeling, packaging, and storage processes. Sustainability, 17(4), 1670. doi: 10.3390/su17041670
- Fedorovich, O., Lutai, L., Kompanets, V. & Bahaiev, I. (2024). The creation of an optimisation component-oriented model for the formation of the architecture of science-based products. In Integrated Computer Technologies in Mechanical Engineering – 2023. Cham, Switzerland. doi: 10.1007/978-3-031-60549-9_31
- Fedorovich, O., Lutai, L., Trishch, R., Zabolotnyi, О., Khomiak, E. & Nikitin, A. (2024). Models for reducing the duration and cost of the aviation equipment diagnostics process using the decomposition of the component architecture of a complex product. In Information Technology for Education, Science, and Technics. ITEST 2024. Cham, Switzerland. doi: 10.1007/978-3-031-71801-4_9
- Fleurbaey, M., & Zuber, S. (2022). A new puzzle in the social evaluation of risk. Economics and Philosophy, 38, 450-465. doi: 10.1017/S0266267121000225
- Fraume, M., Omar-Darío Cardona, A., Fraume, P., Martha-Liliana Carreño, T., & Barbat, A. (2020). Evaluating risk from a holistic perspective to improve resilience: The United Nations evaluation at global level. Safety Science, 127, 104739. doi: 10.1016/j.ssci.2020.104739
- Glette-Iversen, I., Flage, R., & Aven, T. (2023). Extending and improving current frameworks for risk management and decision-making: A new approach for incorporating dynamic aspects of risk and uncertainty. Safety Science, 168, 106317. doi: 10.1016/j.ssci.2023.106317
- Gul, M., Yucesan, M. & Karci, C. (2024). A stratified Bayesian decision-making model for occupational risk assessment of production facilities. Engineering Applications of Artificial Intelligence, 133, 108283. doi: 10.1016/j.engappai.2024.108283
- Guliyeva, A. (2021). Measuring quality of life: A system of indicators. Economic and Political Studies, 10476-491. doi: 10.1080/20954816.2021.1996939
- Ha, D., Park, J., & Lee, S. (2022). Risk Assessment of Reported Accident-causing Products Using Rapid Exchange of Information System Risk Assessment Guideline. Journal of Applied Reliability, 22(1), 59-71. doi: 10.33162/jar.2022.3.22.1.059
- He, Z., Shen, K., Lan, M. & Weng, W. (2024). An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception. Reliability Engineering & System Safety, 244, 109912. doi: 10.1016/j.ress.2023.109912
- Hovorov, P., Trishch, R., Ginevičius, R., Petraškevičius, V. & Šuhajda, K. (2025). Assessment of risks of voltage quality decline in load nodes of power systems. Energies, 18, 1579. doi: 10.3390/en18071579
- Hrinchenko, H., Trisch, R., Burdeina, V. & Chelysheva, S. (2019). Algorithm of technical diagnostics of the complicated damage to the continued resource of the circulation pipeline of the nuclear power plant. Problems of Atomic Science And Technology (PAST), 2(120), 104-110
- Hu, S., Zhang, Y., Lin, Q., Wan, Z., & Liu, Y. (2023). Risk Assessment Method of Project Whole Process Based on Fuzzy Comprehensive Evaluation. SHS Web of Conferences, 170, 02002. doi: 10.1051/shsconf/202317002002
- International Organization for Standardization. (2009). ISO Guide 73:2009 Risk management – Vocabulary - Guidelines for use in standards. Retrieved from https://www.iso.org/standard/44651.html
- International Organization for Standardization. (2015). ISO 9001:2015 IDT Quality management systems - Requirement. Retrieved from https://www.iso.org/standard/62085.html
- International Organization for Standardization. (2018). ISO 31000:2018 IDT Risk management - Guidelines. Retrieved from https://www.iso.org/standard/65694.html
- International Organization for Standardization. (2019). ISO 31010:2019 IDT Risk management - Risk assessment techniques. Retrieved from https://www.iso.org/standard/72140.html
- Irfan, D., Tang, X., Narayan, V., Mall, P. K., Srivastava, S. & Saravanan, V. (2022). Prediction of quality food sale in mart using the AI-based TOR method. Journal of Food Quality, 2022(1), 6877520. doi: 10.1155/2022/6877520
- Ismail, M. N., Kallow, S. M., Gati, K. H., Al-Bayati, H. N. A., & Butsenko, Y. (2024). Quantitative Approaches in Decision Theory for Enhancing Risk Assessment Strategies. Journal of Ecohumanism, 3(5), 308-321. doi: 10.62754/joe.v3i5.3908
- Khomiak, E., Trishch, R., Nazarko, J., Novotný, M. & Petraškevičius, V. (2025). Method of quality control of nuclear reactor element tightness to improve environmental safety. Energies, 18(9), 2172. doi: 10.3390/en18092172
- Khomiak, E., Trishch, R., Zabolotnyi, O., Cherniak, O., Lutai, L. & Katrich, O. (2024). Automated mode of improvement of the quality control system for nuclear reactor fuel element shell tightness. In International Scientific-Practical Conference “Information Technology for Education, Science and Technics”. Cham, Switzerland. doi: 10.1007/978-3-031-71801-4_7
- Kilström, M., & Roth, P. (2024). Risk-sharing and entrepreneurship. Journal of Comparative Economics, 52(1), 341-360. doi: 10.1016/j.jce.2023.12.002
- Komari, I. E., Fedorenko, M., Kharchenko, V., Yehorova, Y., Bardis, N. & Lutai, L. (2020). The neural modules network with collective relearning for the recognition of diseases: Fault-tolerant structures and reliability assessment. International Journal of Circuits, Systems and Signal Processing, 14, 792-800. doi: 10.46300/9106.2020.14.102.o
- Lee, H. (2021). The Concept of Risk and Corporate Risk. In: Risk Management. Risk Management: Fundamentals, Theory, and Practice in Asia (pp. 3-12). Singapore, Asia: Springer.
- Li, Y. (2020) A Vulnerability Risk Assessment Method for Industrial Control System. In 2020 International Conference on Computer Communication and Network Security (CCNS). Xi’an, China. doi: 10.1109/CCNS50731.2020.00040
- Nateghi, R., & Aven, T. (2021). Risk Analysis in the Age of Big Data: The Promises and Pitfalls. Risk Analysis, 41(10), 1751-1758. doi: 10.1111/risa.13682
- Ouyang, L., Zheng, W., Zhu, Y. & Zhou, X. (2020). An interval probability-based FMEA model for risk assessment: A real-world case. Quality and Reliability Engineering International, 36, 125-143. doi: 10.1002/qre.2563
- Palakurti, N. (2025). The role of artificial intelligence in risk assessment and mitigation in the financial sector. International Journal of Advanced Research in Science, Communication and Technology, 5(2), 633-641. doi: 10.48175/ijarsct-23392
- Panda, A., Dyadyura, K., & Kokhan, O. (2024). Increase of technological indicators used in the energy industry. MM Science Journal, 7724-7730. doi: 10.17973/MMSJ.2024_11_2024025
- Pirbalouti, R., Behnam, B., & Dehkordi, M. (2023). A riskbased approach to identify safety-critical equipment in process industries. Results in Engineering, 20, 101448. doi: 10.1016/j.rineng.2023.101448
- Raian, S., Siddiqua, T., Moktadir, M., & Rahman, T. (2023). An empirical model for identifying and controlling operational and environmental risks in spinning industry in an emerging economy. Computers & Industrial Engineering, 180, 109244. doi:10.1016/j.cie.2023.109244
- Riabchykov, M., Alexandrov, A., Trishch, R., Nikulina, A. & Korolyova, N. (2022). Prospects for the development of smart clothing with the use of textile materials with magnetic properties. Tekstilec, 65(1), 1-8. doi: 10.14502/tekstilec.65.2021050
- Riabchykov, M., Nazarchuk, L. & Tkachuk, O. (2022). Basic parameters of medical textile materials for removal and retention of exudate from wounds. Tekstilec, 65(4), 268-277. doi: 10.14502/tekstilec.65.2022064
- Riabchykov, M., Tkachuk, O., Nazarchuk, L. & Alexandrov, A. (2023). Conditions for the open pores formation in medical textile materials for the treatment of wounds using iron oxide nanopowders. Materials Research Express, 10(1), 015401. doi:10.1088/2053-1591/acadcf
- Riabchykov, M., Tsykhanovska, I. & Alexandrov, A. (2023). Justification of technologies for the synthesis of mineral nanoparticles for the creation of magnetic smart textile. Journal of Materials Science, 58(16), 7244-7256. doi: 10.1007/s10853-023-08463-x
- Rudyk, Y., Mykyichuk, M., & Menshykova, O. (2024). Criteria for the Use of Information Technology in Assessing the Quality of Critical Infrastructure by Safety Indexes. In: International Scientific-Practical Conference” Information Technology for Education, Science and Technics”. Cham, Switzerland. doi: 10.1007/978-3-031-71801-4_13
- Settembre-Blundo, D., González-Sánchez, R., Medina-Salgado, S., & García-Muiña, F. (2021). Flexibility and Resilience in Corporate Decision Making: A New Sustainability-Based Risk Management System in Uncertain Times. Global Journal of Flexible Systems Management, 22, 107-132. doi: 10.1007/s40171-021-00277-7
- Simpson, A. (2024). Into the unknown: the need to reframe risk analysis. Journal of Cybersecurity, 10(1). doi: 10.1093/cybsec/tyae022
- Stødle, K., Flage, R., Guikema, S. & Aven, T. (2024). Artificial intelligence for risk analysis - A risk characterization perspective on advances, opportunities, and limitations. Risk Analysis, 45, 738-751. doi: 10.1111/risa.14307
- Sureshkumar, N., Narayanan, P., Ghapar, F., Chew, L., Pandiyan, V., Sundram, K., Naidu, B. M., Zulfakar, M. & Daud, A. (2024). Artificial intelligence-powered risk assessment in supply chain safety. Information Management and Business Review, 16(3), 107-114. doi: 10.22610/imbr.v16i3s(i)a.4124
- Tang, K. H. D. (2024). Artificial intelligence in occupational health and safety risk management of construction, mining, and oil and gas sectors: Advances and prospects. Journal of Engineering Research and Reports, 26(6). 241-253. doi: 10.9734/jerr/2024/v26i61177
- Tetelepta, J. O. & De Carvalho Belo, G. B. (2025). Analysis of potential hazards of work accidents to workers using the Hazard Identification, Risk Assessment and Risk Control (HIRARC) method in freight forwarding companies. Jurnal Ilmiah Manajemen Sumber Daya Manusia, 8(3), 329-340. doi: 10.32493/jjsdm.v8i3.46222
- Trishch, R., Cherniak, O., Zdenek, D. & Petraskevicius, V. (2024). Assessment of the occupational health and safety management system by qualimetric methods. Engineering Management in Production and Services, 16(2), 118-127. doi: 10.2478/emj-2024-0017
- Trishch, R., Maletska, O., Hrinchenko, H., Artiukh, S., Burdeina, V. & Antonenko, N. (2019). Development and validation of measurement techniques according to ISO/IEC 17025:2017. In 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL). Sozopol, Bulgaria. doi: 10.1109/CAOL46282.2019.9019539
- Tzanakakis, K. (2021). Risk Assessment Techniques. In Managing Risks in the Railway System: A Practice-Oriented Guide (pp. 113-146). Cham, Switzerland: Springer
- Urbano, E., Martínez-Viol, V., Kampouropoulos, K., & Romeral, L. (2023). Quantitative and qualitative risk-informed energy investment for industrial companies. Energy Reports, 9, 3290-3304. doi: 10.1016/j.egyr.2023.01.131.
- Vasilevskyi, O. (2021). Assessing the level of confidence for expressing extended uncertainty through control errors on the example of a model of a means of measuring ion activity. Acta IMEKO, 10(2), 199-203. doi: 10.21014/acta_imeko.v10i2.810
- Vasilevskyi, O., Cullinan, M. & Allison, J. (2024). Theoretical approach for determining an emissivity of solid materials and its comparison with experimental studies on the example of 316l powder steel. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(3), 5-8. doi: 10.35784/iapgos.6289
- Vasilevskyi, O., Koval, M. & Kravets, S. (2021). Indicators of reproducibility and suitability for assessing the quality of production services. Acta IMEKO, 10(4), 54-61. doi: 10.21014/acta_imeko.v10i4.814
- Vasilevskyi, O., Sevastianov, V., Ovchynnykov, K., Didych, V. & Burlaka, S. (2023). Accuracy of potentiometric methods for measuring ion activity in solutions. In Proceedings of Seventh International Congress on Information and Communication Technology: ICICT 2022. London, Unitek Kingdom. doi: 10.1007/978-981-19-1607-6_16
- Vasilevskyi, O., Voznyak, O., Didych, V., Sevastianov, V., Ruchka, O. & Rykun, V. (2022). Methods for constructing high-precision potentiometric measuring instruments of ion activity. In 2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO). Kyiv, Ukraine. doi: 10.1109/ELNANO54667.2022.9927128
- Wang, Q., Zhang, X., Wang, F., Dou, Z., Jiang, Y. & Yang, G. (2022). Human factors risk assessment for highdanger production processes based on SPA. In 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022). Emeishan, China. doi: 10.1049/icp.2022.2901
- Wickramaratne, K. A. C. (2023). Risk based quality management: the way forward to improve quality in medical laboratories. The Sri Lanka Journal of Haematology, 15(1), 12-18. doi: 10.4038/tsljh.v15i1.10
- Yazdi, M., Zarei, E., Adumene, S. & Beheshti, A. (2024). Navigating the power of artificial intelligence in risk management: A comparative analysis. Safety, 10(2), 42. doi: 10.3390/safety10020042
- Zhao, X. (2024). Research on high-rise building risk identification and safety risk factor analysis. Theoretical and Natural Science, 31, 313-319. doi: 10.54254/2753-8818/31/20240997
Language: English
Page range: 65 - 82
Submitted on: Jan 15, 2025
Accepted on: Jul 15, 2025
Published on: Oct 8, 2025
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2025 Roman Trishch, Vladislavas Petraškevičius, Agnė Šimelytė, Olena Cherniak, Kostiantyn Lomanov, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.