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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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