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BAYESIAN DEMAND FORECASTING FOR SUPPLY CHAIN DECISION-MAKING UNDER UNCERTAINTY

Demand forecasting plays a critical role in supply chain management, directly influencing inventory planning, procurement strategies, and service level performance. Traditional forecasting methods such as ARIMA and exponential smoothing remain widely used due to their simplicity and interpretability...

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Furkejuvvon:
Váldodahkkit: Marcel ILIE, Augustin SEMENESCU
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Editura Academiei Oamenilor de Știință din România 2026-05-01
Ráidu:Annals: Series on engineering sciences (Academy of Romanian Scientists)
Fáttát:
bayesian forecasting; supply chain management; demand forecasting; hierarchical models; inventory control; (s
s) policy; uncertainty quantification; probabilistic forecasting; deep learning; arima comparison
Liŋkkat:https://aos.ro/doi/engineering-2026-1-86-bayesian-demand-forecasting-for-supply-chain-decision-making-under-uncertainty
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