Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence

Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence

Multi-criteria ABC classification is an effective technique that allows rapid and automatic organization of a growing number of inventory items into classes having different managerial levels. These built classes help decision-makers efficiently control the inventory and optimize the whole supply ch...

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Bibliographic Details
Main Authors: Alaa Asim Qaffas, Mohamed Aymen Ben Hajkacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
ABC classification
inventory classification
eXplainble Artificial Intelligence (XAI)
explainable clustering
SHapley Additive exPlanations (SHAP)
constrained clustering
Online Access:https://ieeexplore.ieee.org/document/10114405/

Internet

https://ieeexplore.ieee.org/document/10114405/

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