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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Ngā kaituhi matua:	Marcel ILIE, Augustin SEMENESCU
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Editura Academiei Oamenilor de Știință din România 2026-05-01
Rangatū:	Annals: Series on engineering sciences (Academy of Romanian Scientists)
Ngā marau:	bayesian forecasting; supply chain management; demand forecasting; hierarchical models; inventory control; (s s) policy; uncertainty quantification; probabilistic forecasting; deep learning; arima comparison
Urunga tuihono:	https://aos.ro/doi/engineering-2026-1-86-bayesian-demand-forecasting-for-supply-chain-decision-making-under-uncertainty
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

BAYESIAN DEMAND FORECASTING FOR SUPPLY CHAIN DECISION-MAKING UNDER UNCERTAINTY

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