Assessing raw material efficiency and waste management for Sustainable Development: A VIKOR and TOPSIS Multi-Criteria Decision Analysis

• Autorzy: Depczyński Radosław

Identyfikatory

DOI

10.30657/pea.2024.30.50

• Języki publikacji: EN

Abstrakty

EN

This study explores the integration of sustainability in decision-making processes within a steel manufacturing company in Poland. As global clients increasingly demand sustainable practices, companies must adapt their operations to meet these expectations. We applied Multi-Criteria Decision Analysis (MCDA) methods, specifically TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and VIKOR (in Serbian: VlseKriterijuska Optimizacija I Komoromisno Resenje), along with three weighting techniques, namely Entropy, Standard Deviation, and CRITIC (Criteria Importance Through Inter-criteria Correlation), to evaluate the sustainability of four products. Nine criteria were considered, including material type, corrosion protection, surface treatment, and various manufacturing processes. Our findings reveal that the MCDA framework effectively ranks products from most to least sustainable, highlighting the importance of raw material efficiency and waste management. This research demonstrates the practical application of MCDA methods in assessing sustainability within the steel industry, providing a basis for future studies to extend this framework to other manufacturing sectors and regions. Overall, this approach supports informed decision-making, aligning with broader sustainability goals while satisfying the demands of business partners and clients.

Słowa kluczowe

EN

raw materials; waste management; sustainable development; MCDM; products group

PL

grupy produktów; surowce; gospodarka odpadami; rozwój zrównoważony; MCDM

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2024
• Tom: Vol. 30, Iss. 4
• Strony: 537--550
• Opis fizyczny: Bibliogr. 51 poz., rys., tab.

Twórcy

autor

Depczyński Radosław

• Doctoral School, Institute of Management, University of Szczecin, Cukrowa 8, Poland

• https://orcid.org/0000-0002-9771-6093

Bibliografia

• 1. Abdulvahitoglu, A., Kilic, M., 2022. A new approach for selecting the most suitable oilseed for biodiesel production; the integrated AHP-TOPSIS method. Ain Shams Engineering Journal, 13(3), 101604. DOI: 10.1016/j.asej.2021.10.002
• 2. Abubakar, I. R., Maniruzzaman, K. M., Dano, U. L., AlShihri, F. S., AlShammari, M. S., Ahmed, S. M. S., Al-Gehlani, W. A. G., Alrawaf, T. I., 2022. Environmental Sustainability Impacts of Solid Waste Management Practices in the Global South. International Journal of Environmental Research and Public Health, 19(19), Article 19. DOI: 10.3390/ijerph191912717
• 3. Ali, M. H., Zailani, S., Iranmanesh, M., Foroughi, B., 2019. Impacts of Environmental Factors on Waste, Energy, and Resource Management and Sustainable Performance. Sustainability, 11(8), 2443. DOI: 10.3390/su11082443
• 4. Alrasheedi, A. F., Mishra, A. R., Rani, P., Zavadskas, E. K., Cavallaro, F., 2023. Multicriteria group decision making approach based on an improved distance measure, the SWARA method and the WASPAS method. Granular Computing, 8(6), 1867–1885. DOI: 10.1007/s41066-023-00413-x
• 5. Andreopoulou, Z., Koliouska, C., Galariotis, E., Zopounidis, C., 2018. Renewable energy sources: Using PROMETHEE II for ranking websites to support market opportunities. Technological Forecasting and Social Change, 131, 31–37. DOI: 10.1016/j.techfore.2017.06.007
• 6. Bączkiewicz, A., Kizielewicz, B., 2021. Towards Sustainable Energy Consumption Evaluation in Europe for Industrial Sector Based on MCDA Methods. Procedia Computer Science, 192, 1334–1346. DOI: 10.1016/j.procs.2021.08.137
• 7. Bączkiewicz, A., Wątróbski, J., Kizielewicz, B., Sałabun, W., 2021. Towards Objectification of Multi-Criteria Assessments: A Comparative Study on MCDA Methods. 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS), 417–425. DOI: 10.15439/2021F61
• 8. Bao, Q., Yuxin, Z., Yuxiao, W., Feng, Y., 2020. Can Entropy Weight Method Correctly Reflect the Distinction of Water Quality Indices? Water Resources Management, 34(11), 3667–3674. DOI: 10.1007/s11269-020-02641-1
• 9. Bathrinath, S., Bhalaji, R. K. A., Saravanasankar, S., 2021. Risk analysis in textile industries using AHP-TOPSIS. Materials Today: Proceedings, 45, 1257–1263. DOI: 10.1016/j.matpr.2020.04.722
• 10. Bid, S., Siddique, G., 2019. Human risk assessment of Panchet Dam in India using TOPSIS and WASPAS Multi-Criteria Decision-Making (MCDM) methods. Heliyon, 5(6). DOI: 10.1016/j.heliyon.2019.e01956
• 11. Çelikbilek, Y., Tüysüz, F., 2020. An in-depth review of theory of the TOPSIS method: An experimental analysis. Journal of Management Analytics, 7(2), 281–300. DOI: 10.1080/23270012.2020.1748528
• 12. Chaurasiya, S., Singh, G., 2024. Exploring Sustainable Manufacturing: A Comprehensive Review of Literature and Practices. In V. S. Sharma, U. S. Dixit, A. Gupta, R. Verma, & V. Sharma (Eds.), Machining and Additive Manufacturing, 11–19, Springer Nature Singapore. DOI: 10.1007/978-981-99-6094-1_2
• 13. Chodha, V., Dubey, R., Kumar, R., Singh, S., Kaur, S., 2022. Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques. Materials Today: Proceedings, 50, 709–715. DOI: 10.1016/j.matpr.2021.04.487
• 14. Cinelli, M., Coles, S. R., Kirwan, K., 2014. Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecological Indicators, 46, 138–148. DOI: 10.1016/j.ecolind.2014.06.011
• 15. Cinelli, M., Kadziński, M., Gonzalez, M., Słowiński, R., 2020. How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy. Omega, 96, 102261. DOI: 10.1016/j.omega.2020.102261
• 16. Depczyński, R., 2022. The assessment of product groups and efficiency in the use of raw materials and waste management towards sustainable development – case study of the steel manufacturing company in Poland. Procedia Computer Science, 207, 4306–4317. DOI: 10.1016/ j.procs.2022.09.494
• 17. Deshpande, P. C., Skaar, C., Brattebø, H., Fet, A. M., 2020. Multi-criteria decision analysis (MCDA) method for assessing the sustainability of end-of-life alternatives for waste plastics: A case study of Norway. Science of The Total Environment, 719, 137353. DOI: 10.1016/j.scitotenv. 2020.137353
• 18. Elavarasan, R. M., Nadarajah, M., Shafiullah, G. M., 2024. Multi-criteria decision analysis of clean energy technologies for envisioning sustainable development goal 7 in Australia: Is solar energy a game-changer? Energy Conversion and Management, 321, 119007. DOI: 10.1016/j.enconman. 2024.119007
• 19. Feo, G. D., Gisi, S. D., 2014. Using MCDA and GIS for hazardous waste landfill siting considering land scarcity for waste disposal. Waste Management, 34(11), 2225–2238. DOI: 10.1016/j.wasman.2014.05.028
• 20. Ferla, G., Mura, B., Falasco, S., Caputo, P., Matarazzo, A., 2024. Multi-Criteria Decision Analysis (MCDA) for sustainability assessment in food sector. A systematic literature review on methods, indicators and tools. Science of The Total Environment, 946, 174235. DOI: 10.1016/j.scitotenv.2024.174235
• 21. Garcia-Garcia, G., 2022. Using Multi-Criteria Decision-Making to optimise solid waste management. Current Opinion in Green and Sustainable Chemistry, 37, 100650. DOI: 10.1016/j.cogsc.2022.100650
• 22. Gupta, H., 2018. Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35–47. DOI: 10.1016/j.jairtraman.2017.06.001
• 23. Hashemi, A., Dowlatshahi, M. B., Nezamabadi-pour, H., 2021. VMFS: A VIKOR-based multi-target feature selection. Expert Systems with Applications, 182, 115224. DOI: 10.1016/j.eswa.2021.115224
• 24. Kazakova, E., Lee, J., 2022. Sustainable Manufacturing for a Circular Economy. Sustainability, 14(24), 17010. DOI: 10.3390/su142417010
• 25. Kizielewicz, B., Sałabun, W., 2024. SITW Method: A New Approach to Re-identifying Multi-criteria Weights in Complex Decision Analysis. Spectrum of Mechanical Engineering and Operational Research, 1(1), Article 1. DOI: 10.31181/smeor11202419
• 26. Kizielewicz, B., Shekhovtsov, A., Sałabun, W., 2023. pymcdm—The universal library for solving multi-criteria decision-making problems. SoftwareX, 22, 101368. DOI: 10.1016/j.softx.2023.101368
• 27. Krishnan, A. R., Kasim, M. M., Hamid, R., Ghazali, M. F., 2021. A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria. Symmetry, 13(6), Article 6. DOI: 10.3390/sym13060973
• 28. Lai, Y.-J., Liu, T.-Y., Hwang, C.-L., 1994. TOPSIS for MODM. European Journal of Operational Research, 76(3), 486–500. DOI: 10.1016/0377-2217(94)90282-8
• 29. Lombardi Netto, A., Salomon, V. A. P., Ortiz-Barrios, M. A., Florek-Paszkowska, A. K., Petrillo, A., De Oliveira, O. J., 2021. Multiple criteria assessment of sustainability programs in the textile industry. International Transactions in Operational Research, 28(3), 1550–1572. https://doi.org/ 10.1111/itor.12871
• 30. Morris, K. C., 2020. Sustainable Manufacturing Is Smart Manufacturing. NIST. https://www.nist.gov/blogs/taking-measure/sustainable-manufac turing-smart-manufacturing
• 31. Omran, I. I., Al-Saati, N. H., Al-Saati, H. H., Hashim, K. S., Al-Saati, Z. N., 2021. Sustainability assessment of wastewater treatment techniques in urban areas of Iraq using multi-criteria decision analysis (MCDA. Water Practice and Technology, 16(2), 648–660. https://doi.org/10.2166/wpt.2021.013
• 32. Oppio, A., Bottero, M., Arcidiacono, A., 2022. Assessing urban quality: A proposal for a MCDA evaluation framework. Annals of Operations Research, 312(2), 1427–1444. DOI: 10.1007/s10479-017-2738-2
• 33. Opricovic, S., Tzeng, G.-H., 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455. DOI: 10.1016/S0377-2217(03)00020-1
• 34. Qammar, R., Abidin, Z. U., Sair, S. A., Ahmad, I., Mansour, A. Z., Owidha, H. F. A. A., 2023. Impact of waste management among Industry 4.0 and sustainable development. Environmental Science and Pollution Research, 30(45), 100743–100752. DOI: 10.1007/s11356-023-28987-8
• 35. Sałabun, W., Shekhovtsov, A., Kizielewicz, B., 2021. A New Consistency Coefficient in the Multi-criteria Decision Analysis Domain. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021, 715–727. Springer International Publishing. DOI: 10.1007/978-3-030-77961-0_57
• 36. Sałabun, W., Wątróbski, J., Shekhovtsov, A., 2020. Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods. Symmetry, 12(9), 1549. DOI: 10.3390/sym12091549
• 37. Shekhovtsov, A., Kizielewicz, B., Sałabun, W., 2023. Advancing individual decision-making: An extension of the characteristic objects method using expected solution point. Information Sciences, 647, 119456. DOI: 10.1016/j.ins.2023.119456
• 38. Torres, P. S., Gomes, C. F. S., Santos, M. D., 2024. Selection of unmanned aerial vehicle systems for border monitoring using the MPSI-SPOTIS method. Journal of Defense Analytics and Logistics, 8(1), 80–104. DOI: 10.1108/JDAL-12-2023-0016
• 39. Torres, P. S., Gomes, C. F. S., Santos, M. D., 2024. Selection of unmanned aerial vehicle systems for border monitoring using the MPSI-SPOTIS method. Journal of Defense Analytics and Logistics, 8(1), 80–104. DOI: 10.1108/JDAL-12-2023-0016
• 40. Valencia, A., Zhang, W., Chang, N.-B., 2022. Sustainability transitions of urban food-energy-water-waste infrastructure: A living laboratory approach for circular economy. Resources, Conservation and Recycling, 177, 105991. DOI: 10.1016/j.resconrec.2021.105991
• 41. Wang, Z., Xiong, H., Zhang, F., Ma, C., 2024. Integrated assessment of groundwater vulnerability in arid areas combining classical vulnerability index and AHP model. Environmental Science and Pollution Research, 31(31), 43822–43834. DOI: 10.1007/s11356-024-34031-0
• 42. Wątróbski, J., 2023. Temporal PROMETHEE II — New multi-criteria approach to sustainable management of alternative fuels consumption. Journal of Cleaner Production, 413, 137445. DOI: 10.1016/ j.jclepro.2023.137445
• 43. Wątróbski, J., Bączkiewicz, A., Ziemba, E., Sałabun, W., 2023. Temporal VIKOR—A New MCDA Method Supporting Sustainability Assessment. In G. C. Silaghi, R. A. Buchmann, V. Niculescu, G. Czibula, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Advances in Information Systems Development: AI for IS Development and Operations, 187–206, Springer International Publishing. DOI: 10.1007/978-3-031-32418-5_11
• 44. Wątróbski, J., Jankowski, J., Ziemba, P., Karczmarczyk, A., Zioło, M., 2019. Generalised framework for multi-criteria method selection. Omega, 86, 107–124. DOI: 10.1016/j.omega.2018.07.004
• 45. Whichello, C., Smith, I., Veldwijk, J., Wit, G. A. de, Molken, M. P. M. H. R., Bekker-Grob, E. W. de., 2023. Discrete choice experiment versus swing-weighting: A head-to-head comparison of diabetic patient preferences for glucose-monitoring devices. PLOS ONE, 18(7), e0283926. DOI: 10.1371/journal.pone.0283926
• 46. Więckowski, J., Kizielewicz, B., Shekhovtsov, A., Sałabun, W., 2023. RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments. Engineering Applications of Artificial Intelligence, 122, 106114. DOI: 10.1016/j.engappai.2023.106114
• 47. Więckowski, J., Sałabun, W., 2024. MakeDecision: Online system for the graphical design of decision-making models in crisp and fuzzy environments. SoftwareX, 26, 101658. DOI: 10.1016/j.softx.2024. 101658
• 48. Więckowski, J., Sałabun, W., Kizielewicz, B., Bączkiewicz, A., Shekhovtsov, A., Paradowski, B., Wątróbski, J., 2023. Recent advances in multi-criteria decision analysis: A comprehensive review of applications and trends. International Journal of Knowledge-Based and Intelligent Engineering Systems, 27(4), 367–393. DOI: 10.3233/KES-230487
• 49. Więckowski, J., Wątróbski, J., Kizielewicz, B., Sałabun, W., 2023. Complex sensitivity analysis in Multi-Criteria Decision Analysis: An application to the selection of an electric car. Journal of Cleaner Production, 390, 136051. DOI: 10.1016/j.jclepro.2023.136051
• 50. Yang, W., Xu, K., Lian, J., Ma, C., Bin, L., 2018. Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods. Ecological Indicators, 89, 269–280. DOI: 10.1016/j.ecolind.2018.02.015
• 51. Ziemba, P., 2021. Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods. Energies, 14(22), Article 22. DOI: 10.3390/en14227786

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).