Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand

DOI10.1016/j.ejor.2004.02.012zbMath1064.90004OpenAlexW1994773221MaRDI QIDQ1780743

Charu Chandra, Jānis Grabis

Publication date: 13 June 2005

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2004.02.012

zbMATH Keywords

ForecastingInventoryBullwhip effect

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Inventory, storage, reservoirs (90B05)

Related Items (13)

Incorporating ARIMA forecasting and service-level based replenishment in RFID-enabled supply chain ⋮ Measure of bullwhip effect in supply chains: the case of high order autoregressive demand process ⋮ Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics ⋮ Application of machine learning techniques for supply chain demand forecasting ⋮ On the bullwhip avoidance phase: the synchronised supply chain ⋮ The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning ⋮ Stochastic dynamic lot-sizing problem using bi-level programming base on artificial intelligence techniques ⋮ A simulation model of a coordinated decentralized supply chain ⋮ The impact of demand parameter uncertainty on the bullwhip effect ⋮ Quantile forecasting and data-driven inventory management under nonstationary demand ⋮ Tri-level decision-making for decentralized vendor-managed inventory ⋮ An IT-enabled supply chain model: a simulation study ⋮ A comprehensive analytical approach for policy analysis of system dynamics models

Cites Work

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• The impact of forecasting model selection on the value of information sharing in a supply chain
• Managing Supply Chain Demand Variability with Scheduled Ordering Policies
• Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
• Reorder level determination with serially-correlated demand
• Information Distortion in a Supply Chain: The Bullwhip Effect

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