A Proposal for a Decision-Making Tool in Third-PartyLogistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Proposal for a Decision-Making Tool in Third-PartyLogistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Proposal for a Decision-Making Tool in Third-PartyLogistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

<a href="/cs/project/EF16_027%2F0008008" target="_blank" >EF16_027/0008008: Mezinárodní mobilita výzkumných pracovníků na Univerzitě Pardubice</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Sustainability

ISSN

2071-1050

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

15

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

23

Strana od-do

1-23

Kód UT WoS článku

000485230200241

EID výsledku v databázi Scopus

—