Analysis of the bullwhip effect in multi-product, multi-stage supply chain systems–a simulation approach

DOI10.1080/00207540902950852zbMath1197.90070OpenAlexW1964128232MaRDI QIDQ3163214

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Publication date: 25 October 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540902950852

zbMATH Keywords

supply chainsystem dynamicsbullwhip effectANFIS

Mathematics Subject Classification ID

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

Related Items (6)

Quantitative models for managing supply chain risks: a review ⋮ Bullwhip effect and supply chain costs with low- and high-quality information on inventory shrinkage ⋮ The bullwhip effect: progress, trends and directions ⋮ A robust optimization approach to reduce the bullwhip effect of supply chains with vendor order placement lead time delays in an uncertain environment ⋮ Measuring the bullwhip effect with market competition among retailers: a simulation study ⋮ The impact of the supply chain structure on bullwhip effect

Uses Software

• DYNAMO

Cites Work

• Unnamed Item
• An integrated production and inventory model to dampen upstream demand variability in the supply chain
• The effect of information sharing on supply chain stability and the bullwhip effect
• Exploiting timely demand information to reduce inventories
• Delayed demand information and dampened bullwhip effect
• The effect of lot sizing rules on order variability
• Robust tests for the bullwhip effect in supply chains with stochastic dynamics
• Supply Chain Inventory Management and the Value of Shared Information
• Value of Information in Capacitated Supply Chains
• 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
• Forecasting errors and the value of information sharing in a supply chain
• Issues on the reduction of demand variance in the supply chain

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