Supply chain forecasting when information is not shared

DOI10.1016/J.EJOR.2016.11.046zbMath1403.90073OpenAlexW2577147627MaRDI QIDQ1753520

John E. Boylan, M. Zied Babai, Mohammad Mokaddes Ali, Aris A. Syntetos

Publication date: 29 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.11.046

zbMATH Keywords

supply chain managementinformation sharingARIMAdownstream demand inferencesimple moving average

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05) Consumer behavior, demand theory (91B42)

Related Items (7)

Forecast with forecasts: diversity matters ⋮ On the interaction between asymmetric demand signal and forecast accuracy information ⋮ On the value of information sharing in the presence of information errors ⋮ A unified theory of the dynamics of closed-loop supply chains ⋮ Downstream demand inference in decentralized supply chains ⋮ An improved forecasting approach to reduce inventory levels in decentralized supply chains ⋮ Information sharing and information errors with noninferable demand

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