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.
An overview of fuzzy techniques in supply chain management: bibliometrics, methodologies, applications and future directions
2021-04-12
doi:10.3846/tede.2021.14433
Technological and Economic Development of Economy; Vol 27 No 2 (2021): FUZZY techniques in occasion of Lotfi Zadeh 100 birth anniversary; 402-458 ; 2029-4921 ; 2029-4913
Article (Journal)
Electronic Resource
English
DDC: | 629 |
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