A Hesitant Fuzzy TOPSIS model to supplier performance evaluation

A Hesitant Fuzzy TOPSIS model to supplier performance evaluation

Abstract Supplier performance evaluation is a decision-making problem that involves quantitative and qualitative metrics. Although several models that allow the use of linguistic terms such as "low" and "high" to evaluate suppliers, none of them enables the application of linguistic expressions, which is especially useful when decision makers hesitates to express their evaluations. This study proposes a model based on the Hesitant Fuzzy TOPSIS method to support the supplier performance evaluation. A pilot application was carried out in an automotive company considering 8 suppliers and 10 criteria. When compared to previous similar approaches, the proposed model presented the following advantages: it enables the use of linguistic expressions to assess the supplier performance in each criterion; it groups suppliers with similar levels of performance to develop appropriate management actions; and does not limit the number of criteria and suppliers evaluated.

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Main Authors: Rodrigues Lima Junior,Francisco, Hsiao,Michael
Format: Digital revista
Language:English
Published: Universidad Nacional de Colombia 2021
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532021000100126
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spelling oai:scielo:S0012-735320210001001262021-06-03A Hesitant Fuzzy TOPSIS model to supplier performance evaluationRodrigues Lima Junior,FranciscoHsiao,Michael supplier performance evaluation hesitant fuzzy TOPSIS method multicriteria decision-making supply chain management Abstract Supplier performance evaluation is a decision-making problem that involves quantitative and qualitative metrics. Although several models that allow the use of linguistic terms such as "low" and "high" to evaluate suppliers, none of them enables the application of linguistic expressions, which is especially useful when decision makers hesitates to express their evaluations. This study proposes a model based on the Hesitant Fuzzy TOPSIS method to support the supplier performance evaluation. A pilot application was carried out in an automotive company considering 8 suppliers and 10 criteria. When compared to previous similar approaches, the proposed model presented the following advantages: it enables the use of linguistic expressions to assess the supplier performance in each criterion; it groups suppliers with similar levels of performance to develop appropriate management actions; and does not limit the number of criteria and suppliers evaluated.info:eu-repo/semantics/openAccessUniversidad Nacional de ColombiaDYNA v.88 n.216 20212021-03-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532021000100126en10.15446/dyna.v88n216.88320
institution SCIELO
collection OJS
country Colombia
countrycode CO
component Revista
access En linea
databasecode rev-scielo-co
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Rodrigues Lima Junior,Francisco
Hsiao,Michael
spellingShingle Rodrigues Lima Junior,Francisco
Hsiao,Michael
A Hesitant Fuzzy TOPSIS model to supplier performance evaluation
author_facet Rodrigues Lima Junior,Francisco
Hsiao,Michael
author_sort Rodrigues Lima Junior,Francisco
title A Hesitant Fuzzy TOPSIS model to supplier performance evaluation
title_short A Hesitant Fuzzy TOPSIS model to supplier performance evaluation
title_full A Hesitant Fuzzy TOPSIS model to supplier performance evaluation
title_fullStr A Hesitant Fuzzy TOPSIS model to supplier performance evaluation
title_full_unstemmed A Hesitant Fuzzy TOPSIS model to supplier performance evaluation
title_sort hesitant fuzzy topsis model to supplier performance evaluation
description Abstract Supplier performance evaluation is a decision-making problem that involves quantitative and qualitative metrics. Although several models that allow the use of linguistic terms such as "low" and "high" to evaluate suppliers, none of them enables the application of linguistic expressions, which is especially useful when decision makers hesitates to express their evaluations. This study proposes a model based on the Hesitant Fuzzy TOPSIS method to support the supplier performance evaluation. A pilot application was carried out in an automotive company considering 8 suppliers and 10 criteria. When compared to previous similar approaches, the proposed model presented the following advantages: it enables the use of linguistic expressions to assess the supplier performance in each criterion; it groups suppliers with similar levels of performance to develop appropriate management actions; and does not limit the number of criteria and suppliers evaluated.
publisher Universidad Nacional de Colombia
publishDate 2021
url http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532021000100126
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AT hsiaomichael ahesitantfuzzytopsismodeltosupplierperformanceevaluation
AT rodrigueslimajuniorfrancisco hesitantfuzzytopsismodeltosupplierperformanceevaluation
AT hsiaomichael hesitantfuzzytopsismodeltosupplierperformanceevaluation
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