Fuzzy TOPSIS in selecting logistic handling operator: case study from Poland
Abstract
Reliable and effective selection of logistic handling operator is a particularly demanding process due to the short reaction time or high level of accompanying stress. Moreover, diversification of transported cargo makes use of classical indicators and methods of carrier selection highly unsatisfactory for decision-makers. To solve this problem, managers are seeking multi-criteria decision methods that improve the decision-making process related to the selection of the carrier and reduce the risk indicator related to the incorrect implementation of the transport order. Thus, in this paper, we present a Multi-Criteria Decision-Making (MCDM) approach for selecting logistic handling operators under partial or incomplete information (uncertainty) and taking into account the different type of transported cargo. The proposed approach comprises 2 main steps. In the 1st step, we identify the input parameters, mainly connected with criteria for carrier selection depending on the type of transported cargo. In the 2nd step, experts provide linguistic ratings to the potential alternatives against the selected criteria and the best alternative is chosen. At this stage, the fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) approach is used. Later, the applicability of the developed method is presented based on the chosen case company. The comparison of classical and fuzzy approaches to decision-making process is also given.
Keyword : multi-criteria decision-making (MCDM), fuzzy TOPSIS, fuzzy theory, carrier selection, cargo type, uncertainty
How to Cite
Tubis, A., & Werbińska-Wojciechowska, S. (2023). Fuzzy TOPSIS in selecting logistic handling operator: case study from Poland. Transport, 38(1), 12–30. https://doi.org/10.3846/transport.2023.17074
This work is licensed under a Creative Commons Attribution 4.0 International License.
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EC. 2007. The EU’s Freight Transport Agenda: Boosting the Efficiency, Integration and Sustainability of Freight Transport in Europe. Communication from the Commission. 18.10.2007, COM(2007), 606 Final. European Commission (EC), Brussels, Belgium. 7 p. Available from Internet: https://eur-lex.europa.eu/LexUriServ.do?uri=COM:2007:0606:FIN:EN:PDF
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El Yamani, O.; Mouncif, H.; Rida, M. 2014. A fuzzy TOPSIS approach for finding shortest path in multimodal transportation networks, International Journal of Computing and Optimization 1(2): 95–111. https://doi.org/10.12988/ijco.2014.4917
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Fishburn, P. C. 1967. Additive utilities with incomplete product sets: application to priorities and assignments, Operations Research 15(3): 537–542. https://doi.org/10.1287/opre.15.3.537
Fontela, E.; Gabus, A. 1976. The DEMATEL Observer. Institute, Geneva Research Center, Geneva, Switzerland.
ISO 22000:2018. Food Safety Management Systems.
Kabir, G.; Hasin, M. A. A. 2012. Comparative analysis of TOPSIS and fuzzy TOPSIS for the evaluation of travel website service quality, International Journal for Quality Research 6(3): 169–185. Available from Internet: http://www.ijqr.net/journal/v6-n3/1.pdf
Kacprzak, D. 2018. Przedziałowa metoda TOPSIS dla grupowego podejmowania decyzji, Optimum. Economic Studies (4): 256–273. (in Polish). https://doi.org/10.15290/oes.2018.04.94.19
Kacprzak, D.; Rudnik, K. 2016. Metoda AHP i rozmyta SAW oparta na skierowanych liczbach rozmytych w procesie wyboru trasy dostawy, in XIX Konferencja “Innowacje w Zarządzaniu i Inżynierii Produkcji”, 28 lutego – 1 marca 2016, Zakopane, Polska, 2: 71–84. (in Polish). Available from Internet: http://ptzp.org.pl/files/konferencje/kzz/artyk_pdf_2016/T2/t2_0071.pdf
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Kolios, A.; Mytilinou, V.; Lozano-Minguez, E.; Salonitis, K. 2016. A comparative study of multiple-criteria decision-making methods under stochastic inputs, Energies 9(7): 566. https://doi.org/10.3390/en9070566
Kosiński, W.; Prokopowicz, P. 2004. Algebra liczb rozmytych, Matematyka Stosowana (5): 37–63. (in Polish). Available from Internet: https://wydawnictwa.ptm.org.pl/index.php/matematyka-stosowana/article/view/1237
Lwesya, F.; Jaffu, R. 2017. Customer service quality management in public transport: the case of rail transport in Tanzania, International Review 3–4: 102–117. https://doi.org/10.5937/intrev1704102L
Mardani, A.; Jusoh, A.; Zavadskas, E. K. 2015. Fuzzy multiple criteria decision-making techniques and applications – two decades review from 1994 to 2014, Expert Systems with Applications 42(8): 4126–4148. https://doi.org/10.1016/j.eswa.2015.01.003
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