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

ABSTRACT: Effective inventory management is crucial for businesses operating across diverse sales channels, particularly in the dynamic e-commerce landscape. Balancing the need to minimize inventory costs while ensuring sufficient stock availability to meet fluctuating demand presents a significant challenge, further compounded by the complexities of external partnerships and distributed fulfillment networks. These factors introduce uncertainties in demand, returns, and lead times, impacting overall profitability. Recent literature has advanced optimization techniques for production and supply chain systems, often focusing on complex analytical objectives related to imperfect quality, typically solved using meta-heuristics. However, these sophisticated optimization models often rely on deterministic

SUBMITTER: Presbitero A 

PROVIDER: S-EPMC12722329 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature