An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions
Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many sc...
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doaj-880233ada83e46f39f627ab5112ff0392021-07-02T21:34:21ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212021-04-0127240245810.3846/tede.2021.1443314433An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directionsKeyu Lu0Huchang Liao1Edmundas Kazimieras Zavadskas2Business School, Sichuan University, 610064 Chengdu, ChinaBusiness School, Sichuan University, 610064 Chengdu, ChinaInstitute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, LithuaniaEvery practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM.https://journals.vgtu.lt/index.php/TEDE/article/view/14433supply chain managementfuzzy setsdecision makingmulti-criteria decision making (mcdm)overview |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Keyu Lu Huchang Liao Edmundas Kazimieras Zavadskas |
spellingShingle |
Keyu Lu Huchang Liao Edmundas Kazimieras Zavadskas An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions Technological and Economic Development of Economy supply chain management fuzzy sets decision making multi-criteria decision making (mcdm) overview |
author_facet |
Keyu Lu Huchang Liao Edmundas Kazimieras Zavadskas |
author_sort |
Keyu Lu |
title |
An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions |
title_short |
An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions |
title_full |
An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions |
title_fullStr |
An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions |
title_full_unstemmed |
An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions |
title_sort |
overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions |
publisher |
Vilnius Gediminas Technical University |
series |
Technological and Economic Development of Economy |
issn |
2029-4913 2029-4921 |
publishDate |
2021-04-01 |
description |
Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM. |
topic |
supply chain management fuzzy sets decision making multi-criteria decision making (mcdm) overview |
url |
https://journals.vgtu.lt/index.php/TEDE/article/view/14433 |
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