A Proposal for a Decision-Making Tool in Third-PartyLogistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F19%3A39914424" target="_blank" >RIV/00216275:25510/19:39914424 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2071-1050/11/15/4236" target="_blank" >https://www.mdpi.com/2071-1050/11/15/4236</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/su11154236" target="_blank" >10.3390/su11154236</a>
Alternative languages
Result language
angličtina
Original language name
A Proposal for a Decision-Making Tool in Third-PartyLogistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach
Original language description
The selection of a third-party logistics (3PL) provider is an important and demanding task for many companies and organizations dealing with distribution activities. To assist in decision making, this paper proposes the implementation of fuzzy logic. To design a fuzzy inference system (FIS), the first prerequisite is to determine a set of evaluation criteria and sub-criteria and to find the relationship between them. This task was solved by an extensive review of the literature and expert opinions on implementing the Fuzzy Analytic Hierarchy Process (AHP) approach. The results obtained in the first part of the research, together with data collected from 20 3PL providers, were further used in the second part, which was related to the implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Finally, a decision-making tool for 3PL provider selection was designed as an FIS structure, where the inputs were the previously defined criteria and the output was a preference for 3PL selection. The fuzzy rules were generated on the basis of the collected empirical data, the preferences obtained by the TOPSIS method, and expert opinion using theWang–Mendel method. The proposed fuzzy model is particularly suitable when input data are not crisp values but are provided descriptively through linguistic statements.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
<a href="/en/project/EF16_027%2F0008008" target="_blank" >EF16_027/0008008: International Mobility of Researchers at the University of Pardubice</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sustainability
ISSN
2071-1050
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
15
Country of publishing house
CH - SWITZERLAND
Number of pages
23
Pages from-to
1-23
UT code for WoS article
000485230200241
EID of the result in the Scopus database
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