HOW TO SELECT THE PORTFOLIO OF SUPPLIERS USING THE OUTRANKING MULTI-ATTRIBUTE DECISION MAKING METHOD

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10245380" target="_blank" >RIV/61989100:27510/18:10245380 - isvavai.cz</a>
Result on the web
<a href="https://www.confer.cz/clc/2018/read/2554-how-to-select-the-portfolio-of-suppliers-using-the-outranking-multi-attribute-decision-making-method.pdf" target="_blank" >https://www.confer.cz/clc/2018/read/2554-how-to-select-the-portfolio-of-suppliers-using-the-outranking-multi-attribute-decision-making-method.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
HOW TO SELECT THE PORTFOLIO OF SUPPLIERS USING THE OUTRANKING MULTI-ATTRIBUTE DECISION MAKING METHOD
Original language description
Suppliers are an inevitable part of a logistics chain. It is crucial for each company to select the best possible suppliers. Suppliers' selection is a typical problem of multi-attribute decision making (MADM). All traditional methods for multi-criteria decision making have already been used to evaluate suppliers. However, very often the ranking of (potential) suppliers is not the final desirable result, because not only the best one, but a set of suppliers must be chosen. An intuitive way would be to select the first n suppliers in the ranking. But, this study shows, that this approach can lead to distorted results. In this paper, the PROMETHEE outranking method of MADM combined with mixed integer programming is used to find the optimal portfolio of suppliers under various constraints (number of suppliers, demand for different types of products, available stocks of suppliers, limited budget of the company, etc.). The proposed application is demonstrated using the numerical example.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_027%2F0008463" target="_blank" >EF16_027/0008463: Science without borders</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CLC 2018 : conference proceedings : peer reviewed : 8th Carpathian Logistics Congress : December 3rd - 5th 2018, Wellness Hotel Step, Prague, Czech Republic, EU
ISBN
978-80-87294-88-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
110-115
Publisher name
Tanger
Place of publication
Ostrava
Event location
Praha
Event date
Dec 3, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000563511600015

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