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Simulation-Optimization for Resource Allocation at SF Express Hub

Zhenyu Huang et al.

INFORMS Journal on Applied Analytics2026https://doi.org/10.1287/inte.2024.0187article
AJG 2
Weight
0.50

What the paper says

A simulation-optimization framework at SF Express enhances resource allocation amid operational volatility, reducing costs and supporting timely, data-driven decisions.

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https://doi.org/https://doi.org/10.1287/inte.2024.0187

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@article{zhenyu2026,
  title        = {{Simulation-Optimization for Resource Allocation at SF Express Hub}},
  author       = {Zhenyu Huang et al.},
  journal      = {INFORMS Journal on Applied Analytics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1287/inte.2024.0187},
}

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Simulation-Optimization for Resource Allocation at SF Express Hub

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.