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

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.