Forecasting and inventory performance for a two-stage supply chain with ARIMA (0,1,1) demand: theory and empirical analysis.

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dc.contributor.author Babai, M. Z.
dc.contributor.author Ali, Mohammad Mojiballah
dc.contributor.author Boylan, John
dc.contributor.author Syntetos, Aris A.
dc.date.accessioned 2012-05-21T15:08:26Z
dc.date.available 2012-05-21T15:08:26Z
dc.date.issued 2012-05-21
dc.identifier.uri http://hdl.handle.net/123456789/335
dc.description.abstract International Journal of Production Economics V. 143, (2) 2013,pp.463–471 The ARIMA(0,1,1) demand model has been analysed extensively by researchers and used widely by forecasting practitioners due to its attractive theoretical properties and empirical evidence in its support. However, no empirical investigations have been conducted in the academic literature to analyse demand forecasting and inventory performance under such a demand model. In this paper, we consider a supply chain formed by a manufacturer and a retailer facing an ARIMA(0,1,1) demand process. The relationship between the forecasting accuracy and inventory performance is analysed along with an investigation on the potential benefits of forecast information sharing between the retailer and the manufacturer. Results are obtained analytically but also empirically by means of experimentation with the sales data related to 329 Stock Keeping Units (SKUs) from a major European superstore. Our analysis contributes towards the development of the current state of knowledge in the areas of inventory forecasting and forecast information sharing and offers insights that should be valuable from the practitioner perspective. en_US
dc.subject Forecasting en_US
dc.subject Inventory en_US
dc.subject ARIMA demand en_US
dc.subject Supply chain en_US
dc.subject Information sharing en_US
dc.title Forecasting and inventory performance for a two-stage supply chain with ARIMA (0,1,1) demand: theory and empirical analysis. en_US
dc.type Article en_US

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