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bullwhip effect: demand forecasting and order lead times. We extend these results to multiple-stage supply chains with and …
Persistent link: https://www.econbiz.de/10009214194
This paper presents a multistage supply chain model that is based on Autoregressive Integrated Moving Average (ARIMA) time-series models. Given an ARIMA model of consumer demand and the lead times at each stage, it is shown that the orders and inventories at each stage are also ARIMA, and...
Persistent link: https://www.econbiz.de/10009214374