An improved forecasting approach to reduce inventory levels in decentralized supply chains

DOI10.1016/j.ejor.2020.04.044zbMath1487.90048OpenAlexW3025572434MaRDI QIDQ2023923

Youssef Tliche, Atour Taghipour, Béatrice Canel-Depitre

Publication date: 3 May 2021

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.04.044

zbMATH Keywords

Newton methodsupply chain managementbullwhip effectdownstream demand inferenceweighted moving average forecasting

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inventory, storage, reservoirs (90B05)

Related Items (1)

Forecast with forecasts: diversity matters

Uses Software

• astsa

Cites Work

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• Analysis of Pairwise Pivoting in Gaussian Elimination
• Optimality and robustness of combinations of moving averages
• Semidefinite Programming
• The impact of customer returns on decisions in a newsvendor problem with and without buyback policies

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