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Correction: A practical approach to replenishment optimization with extended (R, s, Q) policy and probabilistic models | Synapse
March 3, 2026
Open Access
Correction: A practical approach to replenishment optimization with extended (R, s, Q) policy and probabilistic models
AP
Alva Presbitero
Zentrum Überleben
AS
Andreas Syrén
Leibniz-Centre General Linguistics
HD
Hagop Dippel
Leibniz-Centre General Linguistics
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Puntos clave
Improved replenishment optimization was achieved using the (R,s,Q) policy framework, resulting in better inventory turnover.
Key evidence includes a notable reduction in stockouts by 20% and optimization of holding costs across diverse scenarios.
Analysis of implemented probabilistic models demonstrates their effectiveness in managing supply chain dynamics.
This work highlights the importance of advanced models in inventory systems, although field validations are necessary for real-world application.
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Presbitero et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75f43c6e9836116a2a824
https://doi.org/https://doi.org/10.1038/s41598-026-37090-0