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• W2953154251 abstract "We quantify the bullwhip effect (which measures how the variance in replenishment orders is amplified as the orders move up the supply chain) when random demands and random lead times are estimated using the industrially popular moving average forecasting method. We assume that the lead times constitute a sequence of independent identically distributed random variables and correlated demands are described by a first order autoregressive process. We obtain an expression that reveals the impact of demand and lead time forecasting on the bullwhip effect. We draw a number of conclusions on the behavior of the bullwhip effect with respect to the demand auto-correlation and the number of past lead times and demands used in the forecasts. Furthermore we find the maxima and minima of the bullwhip measure as a function of the demand auto-correlation." @default.
• W2953154251 created "2019-06-27" @default.
• W2953154251 creator A5012038601 @default.
• W2953154251 creator A5053698041 @default.
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• W2953154251 date "2017-01-26" @default.
• W2953154251 modified "2023-09-27" @default.
• W2953154251 title "The impact of stochastic lead times on the bullwhip effect under correlated demand and moving average forecasts" @default.
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• W2953154251 hasPublicationYear "2017" @default.
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