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January 30, 2026SHILAP Revista de lepidopterologíaOpen Access

Correction: A practical approach to replenishment optimization with extended (R, s, Q) policy and probabilistic models

Alva Presbitero Andreas Syrén Hagop Dippel Lalita Awasthi Shikhar Dev Zhe Nie

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Key Points

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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Implication

Observational analysis describes replenishment optimization in supply chains, suggesting better inventory management strategies.

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Cite This Study

Presbitero et al. (2026) studied this question.

synapsesocial.com/papers/69a75f43c6e9836116a2a824 https://doi.org/10.1038/s41598-026-37090-0

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