pith:7C7X5U7B
A Horizon-Aware Decision-Support Framework for Demand Forecasting Model Selection in Resilient Production Planning
Projecting test-horizon error metrics forward to the operational horizon improves model selection for multi-step demand forecasting.
arxiv:2602.13939 v6 · 2026-02-15 · cs.LG · cs.AI
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Claims
MDFH provides a coherent basis for horizon-aware selector design, that RMSSEh and AHSIV remain competitive across heterogeneous demand environments, and that AHSIV adds robustness in structurally complex settings.
The projection of error metrics from test horizon to operational horizon relies on structural stability conditions that are assumed but not shown to hold across the evaluated datasets or real-world shifts.
MDFH projects test-horizon error metrics to future horizons under stability assumptions, yielding RMSSEh and the adaptive AHSIV selector that outperform static methods on Walmart, M3, M4, and M5 data.
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| First computed | 2026-06-05T01:15:20.558815Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/7C7X5U7BNT2EOB443JDEMFKPY7 \
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Canonical record JSON
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