Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/110824
Type of publication: research article
Type of publication (PDB): Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Informatika / Informatics (N009)
Author(s): Servaitė, Dovilė;Užupytė, Rūta;Krilavičius, Tomas
Title: Logistics service provider selection using TOPSIS and VIKOR methods
Is part of: CEUR Workshop proceedings [electronic resource]: IVUS 2020, Information society and university studies, Kaunas, Lithuania, 23 April, 2020: proceedings. Aachen : CEUR-WS, 2020, Vol. 2698
Extent: p. 86-91
Date: 2020
Keywords: Logistic service provider;MCDM;TOPSIS;VIKOR;Ranking
Abstract: Choosing a transportation provider is one of the most important choices for a successful business. Forwarding companies rely on past relationships and managerial skills to choose a logistics service providers. There is a number of criteria that need to be taken into account when evaluating a transportation service provider, which are, i.e. one criterion should be as high as possible and the other as low as possible. Multi-criteria decision making methods are commonly used to solve this problem. This article uses VIKOR and TOPSIS multi-criteria decision making methods. 10 transport service providers are ranked, the results of the methods are compared and the expert opinion is compared with the criteria calculated from the actual data. The ranking results are similar for both methods, but differ the ranking of experts and criteria is based on actual data
Internet: https://www.vdu.lt/cris/bitstream/20.500.12259/110824/2/ISSN1613-0073_2020_V_2698.PG_86-91.pdf
https://hdl.handle.net/20.500.12259/110824
Affiliation(s): Baltijos pažangių technologijų institutas
Baltijos pažangių technologijų institutas, Vilnius
Matematikos ir statistikos katedra
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:3. Konferencijų medžiaga / Conference materials
Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml6.41 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats


CORE Recommender

Page view(s)

27
checked on Mar 30, 2021

Download(s)

16
checked on Mar 31, 2021

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.