Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas

Table 2

The widely used methods in supplier segmentation.

Authors	Method used for supplier segmentation
Rezaei and Ortt [46]	Supplier segmentation using two general criteria of suppliers’ capability and willingness using fuzzy logic
Rezaei and Ortt [45]	Supplier segmentation using two general criteria of suppliers’ capability and willingness using fuzzy AHP^3
Rezaei et al. [47]	Supplier segmentation using two general criteria of suppliers’ capability and willingness, using BWM(Best-worst method (BWM)) technique
Segura and Maroto [48]	Supplier segmentation using two strategic and vital dimensions using MAUT (Multi-attribute utility theory (MAUT)) and PROMETHEE (Preference ranking organization method for enrichment of evaluations (PROMETHEE)) techniques
Rezaei et al. [44]	Supplier segmentation based on environmental criteria using ELECTRE (Elimination and choice translating reality (ELECTRE)) TRI-rC techniques
Rezaei and Fallah lajimi [49]	Supplier segmentation based on the hybrid approach of PPM (Purchasing portfolio matrix (PPM)) and SPP (Supplier potential matrix (SPM)) matrices using BWM technique
Parkouhi et al. [50]	Selection and segmentation of suppliers based on their resilience using DEMATEL (Decision-making trial and evaluation laboratory (DEMATEL)) and gray SAW (Simple additive weighting (SAW)) techniques