e-ISSN 2231-8526
ISSN 0128-7680
Mohd Hidayat Ab Rahman, Siti Mariam Abdul Rahman, Ridhwan Jumaidin and Jamaluddin Mahmud
Pertanika Journal of Science & Technology, Volume 32, Issue 6, October 2024
DOI: https://doi.org/10.47836/pjst.32.6.14
Keywords: CRITIC method, framework, MCDM, natural fibre, TOPSIS method
Published on: 25 October 2024
Selecting an appropriate Multi-Criteria Decision-Making (MCDM) method to provide a solution to assist design engineers in prioritising the right criteria in the early design process is essential. Part of the aim of this study is to establish an integration CRITIC-TOPIS for selecting the most efficient framework to choose performance criteria, namely density, tensile strength, Young’s modulus, cellulose, and elongation at break for natural fibre material intended for cap toe shoes like abaca, bamboo, coir, jute, kenaf, sisal. Hence, a new framework was proposed and tested based on integrating Criteria Importance Through Inter Criteria Correlation (CRITIC)-Technique Order Preference by Similarity to Ideal Solution (TOPSIS). Therefore, this proposed framework consists of two phases: the first involves determining the weights of attributes using the CRITIC method, and the second consists of making material criteria decisions using the TOPSIS method. Meanwhile, to achieve this objective, numerical validation was obtained using data from selected past case studies, which were then replicated to validate the output of the proposed framework. According to the validation conducted using CRITIC-TOPSIS, the results show a significant level of similarity, with the rankings being consistent. Therefore, the proposed methodology may provide imprecise and ambiguous information for prioritising the performance criteria of natural fibre composite materials. Moreover, design engineers can utilise this framework in the composite industry to create the best possible evaluation model for composite material criteria selection for various applications.
Abdel-Basset, M., & Mohamed, R. (2020). A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 247, Article 119586. https://doi.org/10.1016/j.jclepro.2019.119586
Alinezhad, A., & Khalili, J. (2019). CRITIC Method. In A. Alinezhad & J. Khalili (Eds.), New Methods and Applications in Multiple Attribute Decision Making (MADM) (pp. 199–203). Springer International Publishing. https://doi.org/10.1007/978-3-030-15009-9_26
Anand, A., Agarwal, M., & Aggrawal, D. (2022). Chapter 4 CRITIC method for weight determination. In Applications for Managerial Discretion (pp. 25–30). De Gruyter. https://doi.org/doi:10.1515/9783110743630-004
Babatunde, M. O., & Ighravwe, D. E. (2019). A CRITIC-TOPSIS framework for hybrid renewable energy systems evaluation under techno-economic requirements. Journal of Project Management, 4, 109–126. https://doi.org/10.5267/j.jpm.2018.12.001
Berdie, A. D., Osaci, M., Muscalagiu, I., & Barz, C. (2017). A combined approach of AHP and TOPSIS methods applied in the field of integrated software systems. In IOP Conference Series: Materials Science and Engineering (Vol. 200, No. 1, p. 012041). IOP Publishing. https://doi.org/10.1088/1757-899X/200/1/012041
Biagiotti, J., Puglia, D., & Kenny, J. M. (2004). A review on natural fibre-based composites-Part I. Journal of Natural Fibers, 1(2), 37–68. http://www.tandfonline.com/doi/abs/10.1300/J395v01n02_04
Chan, S. Y., & Ch’ng, C. K. (2023). TOPSIS for analyzing the risk factors of suicidal ideation among university students in Malaysia. Pertanika Journal of Science and Technology, 31(2), 977–994. https://doi.org/10.47836/pjst.31.2.17
Chen, Y. L., Shen, S. L., & Zhou, A. (2022). Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation. Environmental Pollution, 314, Article 120254. https://doi.org/10.1016/j.envpol.2022.120254
Chodha, V., Dubey, R., Kumar, R., Singh, S., & Kaur, S. (2021). Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques. Materials Today: Proceedings, 50, 709–715. https://doi.org/10.1016/j.matpr.2021.04.487
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 51(4), 380–417. https://doi.org/10.1037/h0053870
Emovon, I., & Oghenenyerovwho, O. S. (2020). Application of MCDM method in material selection for optimal design: A review. Results in Materials, 7, Article 100115. https://doi.org/10.1016/j.rinma.2020.100115
Ertemel, A. V., Menekse, A., & Camgoz Akdag, H. (2023). Smartphone addiction assessment using Pythagorean Fuzzy CRITIC-TOPSIS. Sustainability, 15(5), Article 3955. https://doi.org/10.3390/su15053955
Goyat, V., Ghangas, G., Sirohi, S., Kumar, A., & Nain, J. (2022). A review on mechanical properties of coir based composites. Materials Today: Proceedings, 62, 1738–1745. https://doi.org/10.1016/j.matpr.2021.12.252
Guerrero, H. (2010). Excel Data Analysis: Modeling and Simulation. Springer. https://doi.org/10.1007/978-3-642-10835-8
Han, Y., Wang, Z., Lu, X., & Hu, B. (2020). Application of AHP to road selection. International Journal of Geo-Informantion, 9(2), Article 86. https://doi.org/10.3390/ijgi9020086
Hasan, K. M. F., Horváth, P. G., Bak, M., & Alpár, T. (2021). A state-of-the-art review on coir fiber-reinforced biocomposites. RSC Advances, 11(18), 10548–10571. https://doi.org/10.1039/d1ra00231g
Hassan, I., Alhamrouni, I., & Azhan, N. H. (2023). A CRITIC–TOPSIS multi-criteria decision-making approach for optimum site selection for solar PV farm. Energies, 16(10), Article 4245. https://doi.org/10.3390/en16104245
Hwang, C. L., & Yoon, K. (1981). Basic concepts and foundations. In Multiple Attribute Decision Making (pp. 16–57). Springer. https://doi.org/10.1007/978-3-642-48318-9_2
Ighravwe, D. E., & Babatunde, M. O. (2018). Selection of a mini-grid business model for developing countries using CRITIC-TOPSIS with interval type-2 fuzzy sets. Decision Science Letters, 7(4), 427–442. https://doi.org/10.5267/j.dsl.2018.1.004
Ishizaka, A., & Labib, A. (2009). Analytic hierarchy process and expert choice: Benefits and limitations. OR Insight, 22(4), 201–220. https://doi.org/10.1057/ori.2009.10
Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. The International Journal of Management Science, 35, 274–289. https://doi.org/10.1016/j.omega.2005.06.005
Jigeesh, N., Joseph, D., & Yadav, S. K. (2018). A review on industrial applications of TOPSIS approach. International Journal of Services and Operations Management, 30(1), Article 23. https://doi.org/10.1504/ijsom.2018.10012402
Kabir, G., Sadiq, R., & Tesfamariam, S. (2014). A review of multi-criteria decision-making methods for infrastructure management. Structure and Infrastructure Engineering, 10(9), 1176–1210. https://doi.org/10.1080/15732479.2013.795978
Kazan, H., & Ozdemir, O. (2014). Financial performance assessment of large scale conglomerates via TOPSIS and critic methods. International Journal of Management and Sustainability, 3(4), 203–224. https://doi.org/10.18488/journal.11/2014.3.4/11.4.203.224
Lakshmi, B. M., Mathew, M., Kinol, A. M. J., Vedagiri, B., Perumal, S. B., Madhu, P., & Dhanalakshmi, C. S. (2022). An integrated CRITIC-TOPSIS- and Entropy-TOPSIS-based informative weighting and ranking approach for evaluating green energy sources and its experimental analysis on pyrolysis. Environmental Science and Pollution Research, 29(40), 61370–61382. https://doi.org/10.1007/s11356-022-20219-9
Luhar, S., Suntharalingam, T., Navaratnam, S., Luhar, I., Thamboo, J., Poologanathan, K., & Gatheeshgar, P. (2020). Sustainable and renewable bio-based natural fibres and its application for 3d printed concrete: A review. Sustainability, 12(24), 1–25. https://doi.org/10.3390/su122410485
Maidin, N. A., Sapuan, S. M., Taha, M. M., Yusoff, M. Z. M. (2022). Material selection of natural fibre using a grey relational analysis (GRA) approach. BioResources, 17(1), Article 109. https://doi.org/10.15376/biores.17.1.109-131
Mastura, M. T., Sapuan, S. M., & Mansor, M. R. (2015). A framework for prioritizing customer requirements in product design: Incorporation of FAHP with AHP. Journal of Mechanical Engineering and Sciences, 9, 1655–1670. https://doi.org/10.15282/jmes.9.2015.12.0160
Mohamadghasemi, A., Hadi-Vencheh, A., & Hosseinzadeh Lotfi, F. (2020). The multiobjective stochastic CRITIC–TOPSIS approach for solving the shipboard crane selection problem. International Journal of Intelligent Systems, 35(10), 1570–1598. https://doi.org/10.1002/int.22265
Mufazzal, S., & Muzakkir, S. M. (2018). A new multi-criterion decision making (MCDM) method based on proximity indexed value for minimizing rank reversals. Computers and Industrial Engineering, 119, 427–438. https://doi.org/10.1016/j.cie.2018.03.045
Onukwuli, S., Okpala, C., & Nnaemeka, F. (2022). Review of benefits and limitations of coir fiber filler material in composites. International Journal of Latest Technology, Management & Applied Science, 11(5), 13–20. https://hal.science/hal-04104230%0Ahttps://hal.science/hal-04104230/document
Pamucar, D., Žižović, M., & Đuričić, D. (2022). Modification of the critic method using fuzzy rough numbers. Decision Making: Applications in Management and Engineering, 5(2), 362–371. https://doi.org/10.31181/dmame0316102022p
Pavić, Z., & Novoselac, V. (2013). Notes on TOPSIS Method. International Journal of Research in Engineering and Science, 1(2), 5–12.
Peças, P., Carvalho, H., Salman, H., & Leite, M. (2018). Natural fibre composites and their applications: A review. Journal of Composites Science, 2(4), 1–20. https://doi.org/10.3390/jcs2040066
Polcyn, J. (2022). Determining value added intellectual capital (VAIC) using the TOPSIS-CRITIC method in small and medium-sized farms in selected European countries. Sustainability, 14(6), Article 3672. https://doi.org/10.3390/su14063672
Rahim, R., Supiyandi, S., Siahaan, A. P. U., Listyorini, T., Utomo, A. P., Triyanto, W. A., Irawan, Y., Aisyah, S., Khairani, M., Sundari, S., & Khairunnisa, K. (2018). TOPSIS method application for decision support system in internal control for selecting best employees. Journal of Physics: Conference Series, 1028(1), Article 012052. https://doi.org/10.1088/1742-6596/1028/1/012052
Salwa, H. N., Sapuan, S. M., Mastura, M. T., & Zuhri, M. Y. M. (2019). Analytic hierarchy process (AHP)-based materials selection system for natural fiber as reinforcement in biopolymer composites for food packaging. BioResources, 14(4), 10014–10036. https://doi.org/10.15376/biores.14.4.10014-10036
Saputra, M., Sitompul, O. S., & Sihombing, P. (2018). Comparison AHP and SAW to promotion of head major department SMK Muhammadiyah 04 Medan. Journal of Physics: Conference Series, 1007(1), Article 012034. https://doi.org/10.1088/1742-6596/1007/1/012034
Sattar, M. A., & Ghazwan, A. (2023). Multi criteria decision making for optimal below knee prosthetic design. Periodicals of Engineering and Natural Sciences, 11(3), 29–38. https://doi.org/10.21533/pen.v11i3.3551.g1286
Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7–8), 801–813. https://doi.org/10.1016/j.mcm.2006.03.023
Slebi-Acevedo, C. J., Pascual-Muñoz, P., Lastra-González, P., & Castro-Fresno, D. (2019). Multi-response optimization of porous asphalt mixtures reinforced with aramid and polyolefin fibers employing the CRITIC-TOPSIS based on Taguchi methodology. Materials, 12(22), Article 3789. https://doi.org/10.3390/ma12223789
Stević, Ž., Durmić, E., Gajić, M., Pamučar, D., & Puška, A. (2019). A novel multi-criteria decision-making model: Interval Rough SAW method for sustainable supplier selection. Information, 10(10), Article 0292. https://doi.org/10.3390/info10100292
Wu, H., Liu, S., Wang, J., & Yang, T. (2020). Construction safety risk assessment of bridges in the marine environment based on CRITIC and TOPSIS models. Journal of Coastal Research, 108(sp1), 206–210. https://doi.org/10.2112/JCR-SI108-040.1
Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision-making problems - An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(03), 645-682. https://doi.org/10.1142/S0219622016300019
Žižovic, M., Miljkovic, B., & Marinkovic, D. (2020). Objective methods for determining criteria weight coefficients:a modificationof the critic method. Decision Making: Applications in Management and Engineering, 3(2), 149–161. https://doi.org/10.31181/dmame2003149z
ISSN 0128-7680
e-ISSN 2231-8526