Private-label sustainable supplier selection using a fuzzy entropy-VIKOR-based approach

Autor: Jun Zhang, Linze Li, Jing Zhang, Liping Chen, Guojiao Chen
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Complex & Intelligent Systems, Vol 9, Iss 3, Pp 2361-2378 (2021)
Druh dokumentu: article
ISSN: 2199-4536
2198-6053
DOI: 10.1007/s40747-021-00317-w
Popis: Abstract In recent decades, private labels have been the focus of great development in retail due to their price advantage and consumer-oriented production. With growing customer awareness of safety and health, private-label sustainable supplier selection has become a strategic issue for many retailers. Although there are many studies on supplier selection issues and evaluation methods, studies on the sustainability and consumption sectors are rather limited. Therefore, a novel three-phase MCDM model for private-label supplier selection compliance with sustainability criteria is proposed. First, the Delphi method is used to construct a criteria system based on a detailed literature review. Then, an integrated weight algorithm is suggested, in which objective weights are based on attributes’ entropy measurements, and subjective weights are derived from decision-makers’ preferences. Eventually, during evaluation, a fuzzy set extended in VIKOR is exploited by considering the vagueness of decision makers’ expressions. The results from a case study then show that green packaging and labelling, relationship with manufacturing brand, order flexibility, and product traceability are the most important criteria in retail private-label supplier selection. The flexibility and reliability of the proposed model are also demonstrated in a practical case of supplier evaluation.
Databáze: Directory of Open Access Journals
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