Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/314913 
Year of Publication: 
2023
Citation: 
[Journal:] Modern Supply Chain Research and Applications [ISSN:] 2631-3871 [Volume:] 5 [Issue:] 3 [Year:] 2023 [Pages:] 209-228
Publisher: 
Emerald, Bingley
Abstract: 
Purpose - Supplier segmentation provides companies with suitable policies to control each segment, thereby saving time and resources. Sustainability has become a mandatory requirement in competitive business environments. This study aims to develop a clustering-based approach to sustainable supplier segmentation. Design/methodology/approach - The characteristics of the suppliers and the aspects of the purchased items were considered simultaneously. The weights of the sub-criteria were determined using the best-worst method. Then, the K-means clustering algorithm was applied to all company suppliers based on four criteria. The proposed model is applied to a real case study to test the performance of the proposed approach. Findings - The results prove that supplier segmentation is more efficient when using clustering algorithms, and the best criteria are selected for sustainable supplier segmentation and managing supplier relationships. Originality/value - This study integrates sustainability considerations into the supplier segmentation problem using a hybrid approach. The proposed sustainable supplier segmentation is a practical tool that eliminates complexity and presents the possibility of convenient execution. The proposed method helps business owners to elevate their sustainable insights.
Subjects: 
Clustering
Purchasing portfolio matrix
Supplier management
Supplier potential matrix
Sustainability
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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