Downstream demand inference in decentralized supply chains

DOI10.1016/J.EJOR.2018.09.034zbMath1430.90142OpenAlexW2894431723MaRDI QIDQ1755233

Béatrice Canel-Depitre, Atour Taghipour, Youssef Tliche

Publication date: 9 January 2019

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.09.034

zbMATH Keywords

supply chain managementbullwhip effectdownstream demand inferencesimple moving averageARMA demand processes

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05)

Related Items (2)

Sources of uncertainty and risk quantification methods in supply chain management: a literature study ⋮ An improved forecasting approach to reduce inventory levels in decentralized supply chains

Uses Software

• astsa

Cites Work

• Unnamed Item
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• A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain
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