BAYESIAN INVENTORY CONTROL UNDER UNCERTAIN DEMAND: A DATA-DRIVEN LEARNING APPROACH
Effective inventory management under uncertainty remains a central challenge in supply chain systems, particularly when demand is stochastic, non-stationary, or partially observed. Classical inventory control methods rely on fixed probabilistic assumptions that often fail to capture evolving demand...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Editura Academiei Oamenilor de Știință din România
2026-05-01
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| Seri Bilgileri: | Annals: Series on engineering sciences (Academy of Romanian Scientists) |
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| Online Erişim: | https://aos.ro/doi/engineering-2026-1-36-bayesian-inventory-control-under-uncertain-demand-a-data-driven-learning-approach |
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