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

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

Suppliers are an inevitable part of a logistics chain. It is crucial for each company to select the best possible suppliers. Suppliers&apos; 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

Suppliers are an inevitable part of a logistics chain. It is crucial for each company to select the best possible suppliers. Suppliers&apos; 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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

<a href="/cs/project/EF16_027%2F0008463" target="_blank" >EF16_027/0008463: Věda bez hranic</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

110-115

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Praha

Datum konání akce

3. 12. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000563511600015