Table 1 Emergency material demand forecasting and model design summary.
Data | Model design | |||||
|---|---|---|---|---|---|---|
Researchers | Data source | Forecast Content | Base model | Factors considered | ||
Time | Cost | urgency | ||||
Sun et al.11 | Case studies | Emergency material demand prediction | Fuzzy rough set model |  |  | – |
Chen et al.12 | Flood disaster data | Flood disaster material demand | MIP | √ | √ | – |
Yang et al.13 | Casualty data | Classification of emergency supplies | Regression-based model | √ |  | – |
Mohammadi et al.15 | Government data | Emergency rescue supplies | Neural network | √ | √ | – |
Ekici et al.16 | Government data | Food demand | SEIR | √ | √ | – |
Buyuktahtakn17 | Government data | Supply logistics allocation | MIP |  | √ | – |
Guo et al.20 | Multi-source data | Port emergency resources | Multi-objective particle swarm optimization algorithm | √ |  | – |
Wang et al.23 | Government data | Multi-objective emergency resource | Multi-objective cellular genetic algorithm and the improved A* algorithm | √ |  | √ |