A combined forecasting method for intermittent demand using the automotive aftermarket data

• Published in: Data science and management Vol. 5; no. 2; pp. 43 - 56
• Main Authors: Zhuang, Xiaotian, Yu, Ying, Chen, Aihui
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2022; KeAi Communications Co. Ltd
• Subjects: Combination forecasting; Intelligent supply chain management; Intermittent demand; Machine learning; Transfer learning; Intelligent supply chain management; Combination forecasting; Intermittent demand; Transfer learning; Machine learning

Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises. This study proposes an intermittent demand combination forecasting method based on internal and ext...