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Application of the chosen multi-criteria decision-making methods to identify the autonomous train system supplier

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Języki publikacji
EN
Abstrakty
EN
This paper addresses an application of the specific methods of multi-criteria decision analysis to specify the appropriate supplier of an autonomous train in a certain production–distribution company. This company identifies three potential suppliers dealing with the development and purchase of autonomous train systems. In terms of the multi-criteria decision analysis, the WSA method, the Scoring method and the TOPSIS method were used to define a suitable compromise solution. To apply each method, individual suppliers were sorted depending on the appropriateness for the examined company based on relevance with all the identified criteria and their weights. The evaluation criteria include procurement cost, time of the whole autonomous train system project implementation, references from plants where such a technology has already been introduced, service department availability and battery charge time. Thereafter, the outcomes obtained using individual methods were compared to each other and the compromise supplier of the autonomous train system to be implemented in the selected company was determined.
Czasopismo
Rocznik
Strony
45--57
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
  • Institute of Technology and Business in České Budějovice, Faculty of Technology, Department of Transport and Logistics, Okružní 517/10, 370 01 České Budějovice, Czech Republic
  • Institute of Technology and Business in České Budějovice, Faculty of Technology, Department of Transport and Logistics, Okružní 517/10, 370 01 České Budějovice, Czech Republic
  • Institute of Technology and Business in České Budějovice, Faculty of Technology, Department of Transport and Logistics, Okružní 517/10, 370 01 České Budějovice, Czech Republic
  • University of Dubrovnik, Put branitelja Dubrovnika 29, 20 000 Dubrovnik, Croatia
Bibliografia
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  • 2. Pelegrina, G.D. & Duarte, L.T. & Romano, J.M.T. Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. Expert Systems with Applications. 2019. Vol. 122. P. 262-280.
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  • 5. Yu, C. & Shao, Y. & Wang, K. & Zhang, L. A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment. Expert Systems with Applications. 2019. Vol. 121. P. 1-17.
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  • 13. Dockalikova, I. & Klozikova, J. MCDM Methods in Practice: Localization Suitable Places for Company by the Utilization of AHP and WSA, TOPSIS Method. In: Proceedings of the Conference on European Management Leadership and Governance. MilitaryAcademy, Lisbon, Portugal. 2015. P. 543-552.
  • 14. Kauf, S. & Tłuczak, A. Allocation of logistic risk-investment in public-private-partnership - Use of fuzzy TOPSIS method. In: MATEC Web of Conferences. 2018.
  • 15. Rashidi, K. & Cullinane, K. A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy. Expert Systems with Applications. 2019. Vol. 121. P. 266-281.
  • 16. Droździel, P. & Komsta, H. & Krzywonos, L. An analysis of costs of vehicle repairs in a transportation company. Part I. Transport Problems. 2012. Vol. 7. No. 3. P. 67-75.
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  • 28. Albus, J. & Bostelman, R. & Madhavan, R. & Scott, H. & Barbera, T. & Szabo, S. & Hong, T. & Chang, T. & Shackleford, W. & Shneier, M. & Balakirsky, S. & Schlenoff, C. & Huang, H.M. & Proctor, F. Intelligent control of mobility systems. Studies in Computational Intelligence. 2008. Vol. 132. P. 237-274. DOI: 10.1007/978-3-540-79257-4_13.
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Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-819ca1e7-498f-4239-a075-63840ecbbf89
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