Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/314913 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Modern Supply Chain Research and Applications [ISSN:] 2631-3871 [Volume:] 5 [Issue:] 3 [Year:] 2023 [Pages:] 209-228
Verlag: 
Emerald, Bingley
Zusammenfassung: 
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.
Schlagwörter: 
Clustering
Purchasing portfolio matrix
Supplier management
Supplier potential matrix
Sustainability
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