Production, Manufacturing and Logistics Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand
By Charu Chandra. 2005
110 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0598b9291bb8461adf09041deb2721f6af6cf2fc
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Citations in the corpus
- EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II (2006, unknown): “Forecast errors also contribute to the bullwhip effect, the tendency of orders to increase in variability as one moves up a supply chain (Chandra & Grabis, 2005; Dejonckheere, Disney, Lambrecht, & Towill, 2003, 2004; Zhang, 2004).”
- Application of machine learning techniques for supply chain demand forecasting (2008, background): “‘‘bullwhip effect’’ (Lee et al., 1997a) – a result of information asymmetry.”