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

Babai, MZ, Ali, M, Boylan, JE and Syntetos, A 2012, 'Forecasting and inventory performance for a two-stage supply chain with ARIMA (0,1,1) demand: Theory and empirical analysis' , International Journal of Production Economics . (In Press)

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Abstract

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.

Item Type: Article
Themes: Subjects outside of the University Themes
Schools: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
Journal or Publication Title: International Journal of Production Economics
Publisher: Elsevier
Refereed: Yes
ISSN: 0925-5273
Depositing User: Professor Aris Syntetos
Date Deposited: 14 Oct 2011 10:20
Last Modified: 18 Sep 2013 10:35
URI: http://usir.salford.ac.uk/id/eprint/18319

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