10th International Scientific Conference Technics, Informatics and Education – TIE 2024, str. 325-328
АУТОР(И) / AUTHOR(S): Danijela Tadić , Jasmina Vesić Vasović , Katarina Bogdanović , Nikola Komatina
DOI: 10.46793/TIE24.325T
САЖЕТАК /ABSTRACT:
The problem of personnel selection in the logistics process is one of the most important tasks of human resource management, and its relationship has a critical effect on achieving the organization’s business goals. The considered problem can be stated as a two-stage multi-attribute decision problem that includes both quantitative and qualitative criteria. The attribute weights are determined by applying the modified CRiteria Importance Through Intercriteria Correlation (CRITIC) method. The proposed fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to rank the personnel. The proposed model is illustrated by an example using literature data. It is shown that the proposed two-stage MADM model is highly suitable as a decision-making tool for making decisions about personnel selection in the logistics process
КЉУЧНЕ РЕЧИ / KEYWORDS:
personnel selection, CRITIC, TOPSIS, logistics process
ПРОЈЕКАТ / ACKNOWLEDGEMENT:
This study was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia, and these results are parts of the Grant No. 451-03-66/ 2024-03/200132 with University of Kragujevac – Faculty of Technical Sciences Čačak.
ЛИТЕРАТУРА / REFERENCES
- Korkmaz, O. (2019). Personnel selection method based on TOPSIS multi-criteria decision making method. Uluslararası İktisadi ve İdari İncelemeler Dergisi, (23), 1-16. doi: 10.18092/ulikidince.468486
- Kelemenis, A., & Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert systems with applications, 37(7), 4999-5008. doi: 1016/j.eswa.2009.12.013
- Krishankumar, R., Premaladha, J., Ravichandran, K. S., Sekar, K. R., Manikandan, R., & Gao, X. Z. (2020). A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem. Soft Computing, 24, 1063-1081. doi: 10.1007/s00500-019-03943-2
- Kwok, A. P. K., Yan, M., Zhao, Y. X., Zhi, H., Zhong, R. B., Yang, C., & Li, N. H. (2022). An empirical comparison of the usefulness between TOPSIS method and fuzzy TOPSIS method for personnel selection. In Advances in Decision Science and Management: Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021)(pp. 589-595). Springer Singapore. doi: 10.1007/978-981-16-2502-2_60
- Danişan, T., Özcan, E., & Eren, T. (2022). Personnel selection with multi-criteria decision making methods in the ready-to-wear sector. Tehnički vjesnik, 29(4), 1339-1347. doi: 10.17559/TV-20210816220137
- Saaty, T. L. (2013). The modern science of multicriteria decision making and its practical applications: The AHP/ANP approach. Operations research, 61(5), 1101-1118. doi: 10.1287/opre.2013.1197
- Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770. doi: 10.1016/0305-0548(94)00059-H
- Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669. doi: 10.1016/j.jclepro.2017.12.071
- Amin, F. U., Dong, Q. L., Grzybowska, K., Ahmed, Z., & Yan, B. R. (2022). A novel fuzzy-based VIKOR–CRITIC soft computing method for evaluation of sustainable supply chain risk management. Sustainability, 14(5), 2827. doi: 10.3390/su14052827
- Mitrović Simić, J., Stević, Ž., Zavadskas, E. K., Bogdanović, V., Subotić, M., & Mardani, A. (2020). A novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS model for safety evaluation of road sections based on geometric parameters of road. Symmetry, 12(12), 2006. doi: 10.3390/sym12122006
- Kahraman, C., Onar, S. C., & Öztayşi, B. (2022). A novel spherical fuzzy CRITIC method and its application to prioritization of supplier selection criteria. Journal of Intelligent & Fuzzy Systems, 42(1), 29-36. doi:b10.3233/JIFS-219172
- Mishra, A. R., Rani, P., & Pandey, K. (2022). Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function. Journal of ambient intelligence and humanized computing, 1-17. doi: 10.1007/s12652-021-02902-w
- Brauers, W. K., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and cybernetics, 35(2), 445-469.
- Hwang, C. L., Yoon, K. (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191.
- Aleksić, A., & Tadić, D. (2023). Industrial and management applications of type-2 multi-attribute decision-making techniques extended with type-2 fuzzy sets from 2013 to 2022. Mathematics, 11(10), 2249. doi: 10.3390/math11102249
- Tsai, H-Y. G., Chu, H. (2008). Combining ANP and TOPSIS Concepts for Evaluation the Performance of Property-Liability Insurance Companies. Journal of Social Sciences 4 (1): 56-61, 2008.
- Akhisar, I., & Tunay, N. (2015, May). Performance ranking of Turkish life insurance companies using AHP and TOPSIS. In Management International Conference. Portoroz, Slovenia (Vol. 241, p. 250).
- Karim, R., & Karmaker, C. L. (2016). Machine selection by AHP and TOPSIS methods. American Journal of Industrial Engineering, 4(1), 7-13. doi: 10.12691/ajie-4-1-2
- Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal of Advanced Manufacturing Technology, 28, 839-844.
- Lotfi, F. H., Fallahnejad, R., & Navidi, N. (2011). Ranking efficient units in DEA by using TOPSIS method. Applied Mathematical Sciences, 5(17), 805-815.
- Çelen, A. (2014). Comparative analysis of normalization procedures in TOPSIS method: with an application to Turkish deposit banking market. Informatica, 25(2), 185-208.