A comparative decision-making for electronic product purchases during a pandemic

Yıl 2022, , 109 - 118, 30.09.2022

Ali Köseoğlu

https://doi.org/10.17714/gumusfenbil.1001904

Cited By: 1

Öz

During the Covid-19 pandemic, almost all courses from elementary education to universities are being modified for online education. Accordingly, the need for electronic products shows an increase in this pandemic condition. When students want to buy electronic products, i.e., tablets, laptops etc., they are faced with many different possible choices that vary in quality, features, and price. Multi-criteria decision-making methods are very usable tools for choosing the best possible alternative among many others in such situations. Therefore, in this work, two well-known method is taken into consideration so that students can choose the best possible electronic product to use them in online classes.

Anahtar Kelimeler

Multicriteria decision making, Pandemic, TODIM, TOPSIS

Salgın sırasındaki elektronik ürün alımlarında karşılaştırmalı bir karar verme

Öz

Covid-19 salgını sürecinde ilköğretimden üniversitelere kadar neredeyse tüm dersler online eğitime dönüştürülmektedir. Dolayısıyla, bu salgın koşullarında elektronik ürünlere olan ihtiyaç artış göstermektedir. Öğrenciler elektronik ürünler, yani tabletler, dizüstü bilgisayarlar vb. satın almak istediklerinde kalite, özellik ve fiyat bakımından farklılık gösteren birçok farklı olası seçenekle karşı karşıya kalmaktadır. Çok kriterli karar verme yöntemleri, bu gibi durumlarda birçok alternatif arasından mümkün olan en iyi alternatifi seçmek için çok faydalı araçlardır. Bu nedenle, bu çalışmada, öğrencilerin çevrimiçi derslerde kullanmak üzere mümkün olan en iyi elektronik ürünü seçebilmeleri için iyi bilinen iki ÇKKV yöntemi ele alınmıştır.

Anahtar Kelimeler

Çok kriterli karar verme, Salgın, TODIM, TOPSIS

Kaynakça

• Abdel-Basset, M., Mohamed, R., Sallam, K., & Elhoseny, M. (2020). A novel decision-making model for sustainable supply chain finance under uncertainty environment. Journal of Cleaner Production, 269, 122324. https://doi.org/10.1016/j.jclepro.2020.122324
• Alali, F., & Tolga, A. C. (2019). Portfolio allocation with the TODIM method. Expert Systems with Applications, 124, 341–348. https://doi.org/10.1016/j.eswa.2019.01.054
• Araz, O. U., Eski, O., & Araz, C. (2008). Determining the parameters of dual-card kanban system: An integrated multicriteria and artificial neural network methodology. International Journal of Advanced Manufacturing Technology, 38(9–10), 965–977. https://doi.org/10.1007/s00170-007-1138-1
• Behzadian, M., Khanmohammadi Otaghsara, S., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. In Expert Systems with Applications (Vol. 39, Issue 17, pp. 13051–13069). https://doi.org/10.1016/j.eswa.2012.05.056
• Berger, P. A. (2006). Generating agricultural landscapes for alternative futures analysis: A multiple attribute decision-making model. Transactions in GIS, 10(1), 103–120. https://doi.org/10.1111/j.1467-9671.2006.00246.x
• Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363–11368. https://doi.org/10.1016/J.ESWA.2009.03.039
• Celik, M. (2010). A key decision-making process on logistic support to merchant ships based on operational requirements: Marine supplier selection. Naval Engineers Journal, 122(1), 125–135. https://doi.org/10.1111/j.1559-3584.2010.00235.x
• Chakravorty, R., Gauri, S. K., & Chakraborty, S. (2013). Optimization of multiple responses of ultrasonic machining (USM) process: A comparative study. International Journal of Industrial Engineering Computations, 4(2), 285–296. https://doi.org/10.5267/j.ijiec.2012.012.001
• Chang, C.-W. (2012). Collaborative decision making algorithm for selection of optimal wire saw in photovoltaic wafer manufacture. Journal of Intelligent Manufacturing, 23, 533–539. https://doi.org/10.1007/s10845-010-0391-6
• Chang, T. W., Pai, C. J., Lo, H. W., & Hu, S. K. (2021). A hybrid decision-making model for sustainable supplier evaluation in electronics manufacturing. Computers and Industrial Engineering, 156, 107283. https://doi.org/10.1016/j.cie.2021.107283
• Chatterjee, P., & Stević, Ž. (2019). A two-phase fuzzy AHP-fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), 72–90. https://doi.org/10.31181/oresta1901060c
• Churchman, C. W., Ackoff, R. L., & Arnoff, E. L. (1957). Introduction to operations research. Wiley.
• Du, Y., Zhang, D., & Zou, Y. (2020). Sustainable supplier evaluation and selection of fresh agricultural products based on IFAHP-TODIM model. Mathematical Problems in Engineering, 2020. https://doi.org/10.1155/2020/4792679
• Gao, H., Ju, Y., Santibanez Gonzalez, E. D. R., & Zhang, W. (2020). Green supplier selection in electronics manufacturing: An approach based on consensus decision making. Journal of Cleaner Production, 245, 118781. https://doi.org/10.1016/j.jclepro.2019.118781
• Gomes, L. F. A. M., & Lima, M. M. P. P. (1991). Todim: Basic and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16(4), 113–127.
• Hezer, S., Gelmez, E., & Özceylan, E. (2021). Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment. Journal of Infection and Public Health, 14(6), 775–786. https://doi.org/10.1016/j.jiph.2021.03.003
• Hsu, C. W., Kuo, R. J., & Chiou, C. Y. (2014). A multi-criteria decision-making approach for evaluating carbon performance of suppliers in the electronics industry. International Journal of Environmental Science and Technology, 11(3), 775–784. https://doi.org/10.1007/s13762-013-0265-5
• Hwang, C.-L., & Yoon, K. (1981). Methods for Multiple Attribute Decision Making. In Multiple Attribute Decision Making (pp. 58–191). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48318-9_3
• Jasiulewicz-Kaczmarek, M., Antosz, K., Wyczółkowski, R., Mazurkiewicz, D., Sun, B., Qian, C., & Ren, Y. (2021). Application of micmac, fuzzy ahp, and fuzzy topsis for evaluation of the maintenance factors affecting sustainable manufacturing. Energies, 14(5), 1436. https://doi.org/10.3390/en14051436
• Ji, P., Zhang, H. yu, & Wang, J. qiang. (2018). A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Computing and Applications, 29(1), 221–234. https://doi.org/10.1007/s00521-016-2436-z
• Junaid, M., Xue, Y., Syed, M. W., Li, J. Z., & Ziaullah, M. (2020). A neutrosophic ahp and topsis framework for supply chain risk assessment in automotive industry of Pakistan. Sustainability (Switzerland), 12(1), 154. https://doi.org/10.3390/SU12010154
• Kahneman, D., & Tversky, A. (1979). An analysis of decision under risk. In Econometrica (Vol. 47, Issue 2, pp. 263–292). World Scientific.
• Kahraman, C., Büyüközkan, G., & Ateş, N. Y. (2007). A two phase multi-attribute decision-making approach for new product introduction. Information Sciences, 177(7), 1567–1582. https://doi.org/10.1016/j.ins.2006.09.008
• Kaur, P., Pradhan, B. L., & Priya, A. (2022). TODIM approach for selection of inventory policy in supply chain. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/5959116
• Köseoğlu, A. (2022). Intuitionistic multiplicative set approach for green supplier selection problem using TODIM method. Journal of Universal Mathematics, 5(2), 149–158. https://doi.org/10.33773/jum.1134398
• Köseoğlu, A., & Şahin, R. (2019). An intuitionistic multiplicative TOPSIS method for a supplier selection problem. 3rd International Conference on Advanced Engineering Technologies, 1076–1082.
• Köseoğlu, A., Şahin, R., & Merdan, M. (2020). A simplified neutrosophic multiplicative set-based TODIM using water-filling algorithm for the determination of weights. Expert Systems, 37(4), e12515. https://doi.org/10.1111/exsy.12515
• Loganathan, A., & Mani, I. (2018). A fuzzy based hybrid multi criteria decision making methodology for phase change material selection in electronics cooling system. Ain Shams Engineering Journal, 9(4), 2943–2950. https://doi.org/10.1016/j.asej.2017.11.005
• Mathew, M., Chakrabortty, R. K., & Ryan, M. J. (2020). A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection. Engineering Applications of Artificial Intelligence, 96, 103988. https://doi.org/10.1016/j.engappai.2020.103988
• Ortiz-Barrios, M., Miranda-De la Hoz, C., López-Meza, P., Petrillo, A., & De Felice, F. (2020). A case of food supply chain management with AHP, DEMATEL, and TOPSIS. Journal of Multi-Criteria Decision Analysis, 27(1–2), 104–128. https://doi.org/10.1002/mcda.1693
• Qin, Q., Liang, F., Li, L., Chen, Y. W., & Yu, G. F. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. Applied Soft Computing Journal, 55, 93–107. https://doi.org/10.1016/j.asoc.2017.01.041
• Rajak, M., & Shaw, K. (2019). Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS. Technology in Society, 59, 101186. https://doi.org/10.1016/j.techsoc.2019.101186
• Rani, P., & Mishra, A. R. (2020). Novel single-valued neutrosophic combined compromise solution approach for sustainable waste electrical and electronics equipment recycling partner selection. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2020.3033121
• Tzeng, G. H., Lin, C. W., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33(11), 1373–1383. https://doi.org/10.1016/j.enpol.2003.12.014
• Wang, X. Kang, Zhang, H. Yu, Wang, J. Qiang, Li, J. Bo, & Li, L. (2021). Extended TODIM-PROMETHEE II method with hesitant probabilistic information for solving potential risk evaluation problems of water resource carrying capacity. Expert Systems, 38(4), e12681. https://doi.org/10.1111/exsy.12681
• Wu, Q., Liu, X., Qin, J., Zhou, L., Mardani, A., & Deveci, M. (2022). An integrated generalized TODIM model for portfolio selection based on financial performance of firms. Knowledge-Based Systems, 249, 108794. https://doi.org/10.1016/j.knosys.2022.108794
• Zhang, L., Gao, L., Shao, X., Wen, L., & Zhi, J. (2010). A PSO-Fuzzy group decision-making support system in vehicle performance evaluation. Mathematical and Computer Modelling, 52(11–12), 1921–1931. https://doi.org/10.1016/j.mcm.2010.03.042
• Zulqarnain, R. M., Xin, X. L., Siddique, I., Asghar Khan, W., & Yousif, M. A. (2021). TOPSIS method based on correlation coefficient under pythagorean fuzzy soft environment and its application towards green supply chain management. Sustainability (Switzerland), 13(4), 1–24. https://doi.org/10.3390/su13041642