Optimizing sustainable machining for magnesium alloys: a comparative study of GRA and TOPSIS

References

• Abid, N., Ceci, F., & Ikram, M. (2022). Green growth and sustainable development: Dynamic linkage between technological innovation, ISO 14001, and environmental challenges. Environmental Science and Pollution Research International, 29(17), 25428–25447. https://doi.org/10.1007/s11356-021-17518-y
   PubMed Web of Science ®Google Scholar
• Afzali Behbahani, N., KhodadadiKarimvand, M., & Ahmadi, A. (2022). Environmental risk assessment using FMEA and entropy based on TOPSIS method: A case study oil wells drilling. Big Data and Computing Visions, 2(1), 31–39. https://doi.org/10.22105/bdcv.2022.331778.1054
   Google Scholar
• Ajay, C. V., Elangovan, S., Pratheesh Kumar, S., & Manisekar, K. (2022). Multi-objective optimization in incremental sheet forming of Ti-6Al-4V alloy using grey relational analysis method. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 236(4), 1467–1476. https://doi.org/10.1177/09544089211063715
   Web of Science ®Google Scholar
• Akhoundi, B., & Modanloo, V. (2023). A multi-criteria decision-making analysis on the extrusion-based additive manufacturing of ABS/Cu composites. International Journal on Interactive Design and Manufacturing (IJIDeM), 17(4), 1995–2003. https://doi.org/10.1007/s12008-023-01342-4
   Google Scholar
• Asadabadi, M. R., Ahmadi, H. B., Gupta, H., & Liou, J. J. H. (2023). Supplier selection to support environmental sustainability: The stratified BWM TOPSIS method. Annals of Operations Research, 322(1), 321–344. https://doi.org/10.1007/s10479-022-04878-y
   PubMed Web of Science ®Google Scholar
• Awodi, N. J., Liu, Y., Ayo-Imoru, R. M., & Ayodeji, A. (2023). Fuzzy TOPSIS-based risk assessment model for effective nuclear decommissioning risk management. Progress in Nuclear Energy, 155, 104524. https://doi.org/10.1016/j.pnucene.2022.104524
   Web of Science ®Google Scholar
• Bao, Y., Zhang, X., Zhou, T., Chen, Z., & Ming, X. (2022). Application of industrial internet for equipment asset management in social digitalization platform based on system engineering using fuzzy DEMATEL-TOPSIS. Machines, 10(12), 1137. https://doi.org/10.3390/machines10121137
   Web of Science ®Google Scholar
• Bashir, M. F., Ma, B., Shahbaz, M., Shahzad, U., & Vo, X. V. (2021). Unveiling the heterogeneous impacts of environmental taxes on energy consumption and energy intensity: Empirical evidence from OECD countries. Energy, 226, 120366. https://doi.org/10.1016/j.energy.2021.120366
   Web of Science ®Google Scholar
• Damle, M., & Krishnamoorthy, B. (2022). Identifying critical drivers of innovation in pharmaceutical industry using TOPSIS method. MethodsX, 9, 101677. https://doi.org/10.1016/j.mex.2022.101677
   PubMed Web of Science ®Google Scholar
• Demircan, B. G., & Yetilmezsoy, K. (2023). A hybrid fuzzy AHP-TOPSIS approach for implementation of smart sustainable waste management strategies. Sustainability, 15(8), 6526. https://doi.org/10.3390/su15086526
   Web of Science ®Google Scholar
• Erdemir, Ö. K., & Kirkağaç, M. (2022). A comparative study on performance of insurance companies with grey relational analysis and analytic hierarchy process. Alanya Akademik Bakış, 6(3), 2627–2645. https://doi.org/10.29023/alanyaakademik.1070741
   Google Scholar
• Esangbedo, M. O., Xue, J., Bai, S., & Esangbedo, C. O. (2024). Relaxed rank order centroid weighting MCDM method with improved grey relational analysis for subcontractor selection: Photothermal power station construction. IEEE Transactions on Engineering Management, 71, 3044–3061. https://doi.org/10.1109/TEM.2022.3204629
   Web of Science ®Google Scholar
• Essa, W. K., Yasin, S. A., Abdullah, A. H., Thalji, M. R., Saeed, I. A., Assiri, M. A., Chong, K. F., & Ali, G. A. M. (2022). Taguchi L25 (54) approach for methylene blue removal by polyethylene terephthalate nanofiber-multi-walled carbon nanotube composite. Water, 14(8), 1242. https://doi.org/10.3390/w14081242
   Web of Science ®Google Scholar
• Fares, N., & Lloret, J. (2022). An integrated SWOT-AHP-fuzzy TOPSIS approach for maturity management following the COVID-19 outbreak: Lessons learned from fast fashion. Journal of Global Operations and Strategic Sourcing, 15(4), 510–533. https://doi.org/10.1108/JGOSS-09-2021-0072
   Web of Science ®Google Scholar
• Gayathri, C., Kamala, V., Gajanand, M. S., & Yamini, S. (2022). Analysis of operational and financial performance of ports: An integrated fuzzy DEMATEL-TOPSIS approach. Benchmarking: An International Journal, 29(3), 1046–1066. https://doi.org/10.1108/BIJ-03-2020-0123
   Web of Science ®Google Scholar
• Gul, M., Shah, A. N., Aziz, U., Husnain, N., Mujtaba, M. A., Kousar, T., Ahmad, R., & Hanif, M. F. (2022). Grey-Taguchi and ANN based optimization of a better performing low-emission diesel engine fueled with biodiesel. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44(1), 1019–1032. https://doi.org/10.1080/15567036.2019.1638995
   Web of Science ®Google Scholar
• Gulishengmu, A., Yang, G., Tian, L., Pan, Y., Huang, Z., Xu, X., Gao, Y., & Li, Y. (2023). Analysis of water resource carrying capacity and obstacle factors based on GRA-TOPSIS evaluation method in Manas river basin. Water, 15(2), 236. https://doi.org/10.3390/w15020236
   Web of Science ®Google Scholar
• Hasanzadeh, R., Mojaver, P., Azdast, T., Khalilarya, S., Chitsaz, A., & Rosen, M. A. (2023). Decision analysis for plastic waste gasification considering energy, exergy, and environmental criteria using TOPSIS and grey relational analysis. Process Safety and Environmental Protection, 174, 414–423. https://doi.org/10.1016/j.psep.2023.04.028
   Web of Science ®Google Scholar
• Hegab, H., Khanna, N., Monib, N., & Salem, A. (2023). Design for sustainable additive manufacturing: A review. Sustainable Materials and Technologies, 35, e00576. https://doi.org/10.1016/j.susmat.2023.e00576
   Web of Science ®Google Scholar
• Ikram, M., Zhang, Q., Sroufe, R., & Shah, S. Z. A. (2020). Towards a sustainable environment: The nexus between ISO 14001, renewable energy consumption, access to electricity, agriculture and CO2 emissions in SAARC countries. Sustainable Production and Consumption, 22, 218–230. https://doi.org/10.1016/j.spc.2020.03.011
   Web of Science ®Google Scholar
• Jamie. (n.d.). AZ31. Luxfer MEL Technologies. https://www.luxfermeltechnologies.com/products/az31/
   Google Scholar
• Jamwal, A., Agrawal, R., Sharma, M., & Kumar, V. (2021). Review on multi-criteria decision analysis in sustainable manufacturing decision making. International Journal of Sustainable Engineering, 14(3), 202–225. https://doi.org/10.1080/19397038.2020.1866708
   Web of Science ®Google Scholar
• Kumar, G. S., Ramesh, M., Dinesh, S., Paramasivam, P., & Parthipan, N. (2022). Investigation of the TIG welding process for joining AA6082 alloy using grey relational analysis. Advances in Materials Science and Engineering, 2022, 1–8. https://doi.org/10.1155/2022/5670172
   Web of Science ®Google Scholar
• Kumar, S., & Singh, A. (2023). Multi-objective optimization of green drilling parameters on HcHcr steel using GRA-TOPSIS with PCA method. In A. Maurya, A. K. Srivastava, P. K. Jha, & S. M. Pandey (Eds.), Recent trends in mechanical engineering (pp. 13–23). Singapore: Springer Nature. https://doi.org/10.1007/978-981-19-7709-1_2
   Google Scholar
• Li, H., Liu, H., & Hu, Y. (2022). Prediction of Unbalanced Financial Risk Based on GRA-TOPSIS and SMOTE-CNN. Scientific Programming, 2022, 1–13. https://doi.org/10.1155/2022/8074516
   Web of Science ®Google Scholar
• Li, X., Meng, X., Ji, X., Zhou, J., Pan, C., & Gao, N. (2023). Zoning technology for the management of ecological and clean small-watersheds via k-means clustering and entropy-weighted TOPSIS: A case study in Beijing. Journal of Cleaner Production, 397, 136449. https://doi.org/10.1016/j.jclepro.2023.136449
   Web of Science ®Google Scholar
• Liew, K. F., Lam, W. S., & Lam, W. H. (2022). Financial network analysis on the performance of companies using integrated entropy–DEMATEL–TOPSIS model. Entropy, 24(8), 1056. https://doi.org/10.3390/e24081056
   PubMed Web of Science ®Google Scholar
• 2020 Life Cycle Assessment (LCA). (n.d.). https://www.intlmag.org/page/life-cycle-assessment-update
   Google Scholar
• Lu, L., Hu, S., Liu, L., & Yin, Z. (2016). High speed cutting of AZ31 magnesium alloy. Journal of Magnesium and Alloys, 4(2), 128–134. https://doi.org/10.1016/j.jma.2016.04.004
   Web of Science ®Google Scholar
• Lu, X., Jia, Z., Wang, H., Feng, Y., & Liang, S. Y. (2019). The effect of cutting parameters on micro-hardness and the prediction of Vickers hardness based on a response surface methodology for micro-milling Inconel 718. Measurement, 140, 56–62. https://doi.org/10.1016/j.measurement.2019.03.037
   Web of Science ®Google Scholar
• Malinda, M., & Chen, J.-H. (2022). The forecasting of consumer exchange-traded funds (ETFs) via grey relational analysis (GRA) and artificial neural network (ANN). Empirical Economics, 62(2), 779–823. https://doi.org/10.1007/s00181-021-02039-x
   Web of Science ®Google Scholar
• Minguito, G., & Banluta, J. (2023). Risk management in humanitarian supply chain based on FMEA and grey relational analysis. Socio-Economic Planning Sciences, 87, 101551. https://doi.org/10.1016/j.seps.2023.101551
   PubMed Web of Science ®Google Scholar
• Natarajan, M., Pasupuleti, T., Abdullah, M. M. S., Mohammad, F., Giri, J., Chadge, R., Sunheriya, N., Mahatme, C., Giri, P., & Soleiman, A. A. (2023). Assessment of machining of hastelloy using WEDM by a multi-objective approach. Sustainability, 15(13), 10105. https://doi.org/10.3390/su151310105
   Web of Science ®Google Scholar
• Nayman Hamamci, H., & Karkacier, A. (2022). Evaluation of financial performance of participation banks in turkey and GCC with TOPSIS method. Uluslararası Ekonomi ve Yenilik Dergisi, 8(1), 55–78. https://doi.org/10.20979/ueyd.1020027
   Google Scholar
• Ogedengbe, T. S., Okediji, A. P., Yussouf, A. A., Aderoba, O. A., Abiola, O. A., Alabi, I. O., & Alonge, O. I. (2019). The effects of heat generation on cutting tool and machined workpiece. Journal of Physics: Conference Series, 1378(2), 022012. https://doi.org/10.1088/1742-6596/1378/2/022012
   Google Scholar
• Ouali, M. (2022). Evaluation of Chinese cloth suppliers using dynamic grey relational analysis. International Journal of Grey Systems, 2(2), 34–46. https://doi.org/10.52812/ijgs.62
   Google Scholar
• Özbek, O., & Saruhan, H. (2020). The effect of vibration and cutting zone temperature on surface roughness and tool wear in eco-friendly MQL turning of AISI D2. Journal of Materials Research and Technology, 9(3), 2762–2772. https://doi.org/10.1016/j.jmrt.2020.01.010
   Google Scholar
• Pandey, S., Nautiyal, R., Kumar, P., Chandra, G., & Pal Panwar, V. (2022). A grey relational model for soil erosion vulnerability assessment in subwatershed of lesser Himalayan region. CATENA, 210, 105928. https://doi.org/10.1016/j.catena.2021.105928
   Web of Science ®Google Scholar
• Perumal, A., Kailasanathan, C., Stalin, B., Suresh Kumar, S., Rajkumar, P. R., Gangadharan, T., Venkatesan, G., Nagaprasad, N., Dhinakaran, V., & Krishnaraj, R. (2022). Multiresponse optimization of wire electrical discharge machining parameters for Ti-6Al-2Sn-4Zr-2Mo (α-β) alloy using taguchi-grey relational approach. Advances in Materials Science and Engineering, 2022, 1–13. https://doi.org/10.1155/2022/6905239
   Google Scholar
• Pimenov, D. Y., Kumar Gupta, M., Da Silva, L. R. R., Kiran, M., Khanna, N., & Krolczyk, G. M. (2022). Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach. Measurement, 199, 111503. https://doi.org/10.1016/j.measurement.2022.111503
   Web of Science ®Google Scholar
• Piya, S., Shamsuzzoha, A., Azizuddin, M., Al-Hinai, N., & Erdebilli, B. (2022). Integrated Fuzzy AHP-TOPSIS Method to analyze green management practice in hospitality industry in the sultanate of oman. Sustainability, 14(3), 1118. https://doi.org/10.3390/su14031118
   Web of Science ®Google Scholar
• Rampasso, I. S., Quelhas, O. L. G., Ganga, G. M. D., Pavan Serafim, M., Simão, V. G., Costa, L. F. M., & Anholon, R. (2022). Sustainability practices in manufacturing companies: Analysis of an emerging economy. Benchmarking: An International Journal, 30(9), 3382–3407. https://doi.org/10.1108/BIJ-10-2021-0615
   Google Scholar
• Rani, M., & Kaushal, S. (2022). GeoClust: Feature engineering based framework for location-sensitive disaster event detection using AHP-TOPSIS. Expert Systems with Applications, 210, 118461. https://doi.org/10.1016/j.eswa.2022.118461
   Web of Science ®Google Scholar
• Riaz, M., Tanveer, S., Pamucar, D., & Qin, D.-S. (2022). Topological data analysis with spherical fuzzy soft AHP-TOPSIS for environmental mitigation system. Mathematics, 10(11), 1826. https://doi.org/10.3390/math10111826
   Web of Science ®Google Scholar
• Saad, M. H., Nazzal, M. A., & Darras, B. M. (2019). A general framework for sustainability assessment of manufacturing processes. Ecological Indicators, 97, 211–224. https://doi.org/10.1016/j.ecolind.2018.09.062
   Web of Science ®Google Scholar
• Saeidi, P., Mardani, A., Mishra, A. R., Cajas Cajas, V. E., & Carvajal, M. G. (2022). Evaluate sustainable human resource management in the manufacturing companies using an extended Pythagorean fuzzy SWARA-TOPSIS method. Journal of Cleaner Production, 370, 133380. https://doi.org/10.1016/j.jclepro.2022.133380
   Web of Science ®Google Scholar
• Salur, E., Kuntoğlu, M., Aslan, A., & Pimenov, D. Y. (2021). The Effects of MQL and dry environments on tool wear, cutting temperature, and power consumption during end milling of AISI 1040 steel. Metals, 11(11), 1674. https://doi.org/10.3390/met11111674
   Web of Science ®Google Scholar
• Shokrani, A., Al-Samarrai, I., & Newman, S. T. (2019). Hybrid cryogenic MQL for improving tool life in machining of Ti-6Al-4V titanium alloy. Journal of Manufacturing Processes, 43, 229–243. https://doi.org/10.1016/j.jmapro.2019.05.006
   Web of Science ®Google Scholar
• Siddiqui, S. (2017). Estimation of greenhouse gas emissions by household energy consumption: A case study of Lahore, Pakistan (world). https://www.prdb.pk/front/estimation-of-greenhouse-gas-emissions-by-household-energy-6554
   Google Scholar
• Silva, N. F., Dos Santos, M., Gomes, C. F. S., & De Andrade, L. P. (2023). An integrated CRITIC and Grey Relational Analysis approach for investment portfolio selection. Decision Analytics Journal, 8, 100285. https://doi.org/10.1016/j.dajour.2023.100285
   Google Scholar
• Tao, J., Sun, X.-H., Cao, Y., & Ling, M.-H. (2022). Evaluation of water quality and its driving forces in the Shaying River Basin with the grey relational analysis based on combination weighting. Environmental Science and Pollution Research International, 29(12), 18103–18115. https://doi.org/10.1007/s11356-021-16939-z
   PubMed Web of Science ®Google Scholar
• Wang, D. (2022). The application of grey relational analysis in the evaluation of financial auditing effect and improvement. Mobile Information Systems, 2022, 1–6. https://doi.org/10.1155/2022/6854225
   Web of Science ®Google Scholar
• Wang, M., Cheng, X., & He, Z. (2022a). Research on multiple affective responses design of product based on kansei engineering and TOPSIS-AISM. Mathematical Problems in Engineering, 2022, 1–12. https://doi.org/10.1155/2022/6945986
   Web of Science ®Google Scholar
• Wang, M., Wang, W., & Wu, L. (2022b). Application of a new grey multivariate forecasting model in the forecasting of energy consumption in 7 regions of China. Energy, 243, 123024. https://doi.org/10.1016/j.energy.2021.123024
   Web of Science ®Google Scholar
• Wen, P., Wang, C., Chen, M., & Chai, Z. (2023). Engineering property evaluation and multiobjective parameter optimization of argillaceous gangue–filled subgrade based on grey relational analysis. Journal of Materials in Civil Engineering, 35(4), 04023007. https://doi.org/10.1061/(ASCE)MT.1943-5533.0004674
   Web of Science ®Google Scholar
• Witharamage, C. S., Christudasjustus, J., & Gupta, R. K. (2021). The effect of milling time and speed on solid solubility, grain size, and hardness of Al-V alloys. Journal of Materials Engineering and Performance, 30(4), 3144–3158. https://doi.org/10.1007/s11665-021-05663-x
   Web of Science ®Google Scholar
• Xie, B., Peng, Q., E, J., Tu, Y., Wei, J., Tang, S., Song, Y., & Fu, G. (2022). Effects of CO addition and multi-factors optimization on hydrogen/air combustion characteristics and thermal performance based on grey relational analysis. Energy, 255, 124573. https://doi.org/10.1016/j.energy.2022.124573
   Web of Science ®Google Scholar
• Xu, Y., Yan, C., Liu, H., Wang, J., Yang, Z., & Jiang, Y. (2020). Smart energy systems: A critical review on design and operation optimization. Sustainable Cities and Society, 62, 102369. https://doi.org/10.1016/j.scs.2020.102369
   Web of Science ®Google Scholar
• Yıldırım, Ç. V., Sarıkaya, M., Kıvak, T., & Şirin, Ş. (2019). The effect of addition of hBN nanoparticles to nanofluid-MQL on tool wear patterns, tool life, roughness and temperature in turning of Ni-based Inconel 625. Tribology International, 134, 443–456. https://doi.org/10.1016/j.triboint.2019.02.027
   Web of Science ®Google Scholar
• Zhang, Z., Jiang, H., Shao, T., & Shao, Q. (2023). Understanding the selection of intelligent engineering B2B platform in China through the fuzzy DANP and TOPSIS techniques: A multi-study analysis. Applied Soft Computing, 141, 110277. https://doi.org/10.1016/j.asoc.2023.110277
   Web of Science ®Google Scholar
• Zhong, S., Yang, K., & Wang, Y. (2021). A novel evaluation method of hydrogen production from coal based on AHP and GRA-TOPSIS. Advances in Civil Engineering, 2021, 1–9. https://doi.org/10.1155/2021/8991994
   Web of Science ®Google Scholar