Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand

Forecasting spare parts demand is challenging due to its intermittent, sparse, and highly irregular nature. Traditional inventory strategies, based on stable demand patterns, often lead to inefficiencies, including excess inventory and poor service performance. This study examines the impact of feat...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Zdravko Kunić, Vedran Dakić, Aleksandar Radovan, Filip Furko
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-06-01
Saila:	Applied Sciences
Gaiak:	spare parts forecasting intermittent demand ABC–XYZ classification feature engineering machine learning XGBoost
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/16/12/5804
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!