![]() For unknown parameters, the strength of the bullwhip effect is also influenced by the number of demand observations available to estimate the parameters. The results show that the bullwhip effect is affected by unknown parameters and is influenced by the frequency with which parameter estimates are updated. This paper studies a two-echelon single-product supply chain with final demand distributed according to a known AR(1) process but with unknown parameters. ![]() The analytical models generally assume that the final demand process and its parameters are known. ![]() Academic researchers have studied this phenomenon and modelled it analytically, showing that it affects many real world industries. The bullwhip effect is a very important issue for supply chains, impacting on costs and effectiveness.
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