Information transformation in a supply chain: a simulation study
Computers and Operations Research
A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems
Expert Systems with Applications: An International Journal
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
The effects of fuzzy forecasting models on supply chain performance
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Fuzzy forecasting applications on supply chains
WSEAS TRANSACTIONS on SYSTEMS
Computers and Industrial Engineering
A Simulation Study of Supply Chain Management to Measure the Impact of Information Sharing
Information Resources Management Journal
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This paper presents a hierarchical model framework for the analysis of the stabilizing effect of inventories in multiechelon manufacturing/distribution supply chains. This framework is used to compare the variance of demand to the variance of replenishment orders at different echelons of the system (e.g., retailer, wholesaler). Empirical data and experience with management games suggest that, in most industries, inventory management policies can have a destabilizing effect by increasing the volatility of demand as it passes up through the chain (the "bullwhip" effect). Our model helps to explain these observations and indicates mechanisms that can promote stabilization. The analysis results also define sufficient conditions for the existence of stabilization and relate these conditions to the optimality of myopic control policies.