Systematic Evaluation of Statistical, Machine Learning, and Deep Learning Models for Lumpy and Intermittent Demand Forecasting Using Cost-Sensitive Metrics
Fields of Study & Subjects
Forecasting Techniques and Applications
Supply Chain and Inventory Management
Supply Chain Resilience and Risk Management
Publication details
- Journal / source
- Communications in computer and information science
- Publisher
- Springer Nature Switzerland
- Pages
- 88–105
- Publication date
- 1 January 2026
- Language
- EN