Skip to the content

The effect of correlation between demands on hierarchical forecasting

Chen, H 2009, 'The effect of correlation between demands on hierarchical forecasting' , in: Advances in Business and Management Forecasting , Emerald, pp. 173-188.

PDF - Accepted Version
Download (90kB) | Preview
    [img] Microsoft Word - Accepted Version
    Restricted to Repository staff only

    Download (323kB) | Request a copy


      The forecasting needs for inventory control purposes are hierarchical. For SKUs in a product family or a SKU stored across different depot locations, forecasts can be made from the individual series’ history or derived top-down. Many discussions have been found in the literature, but it is not clear under what conditions one approach is better than the other. Correlation between demands has been identified as a very important factor to affect the performance of the two approaches, but there has been much confusion on whether positive or negative correlation. This paper summarises the conflicting discussions in the literature, argues that it is negative correlation that benefits the top-down or grouping approach, and quantifies the effect of correlation through simulation experiments.

      Item Type: Book Section
      Editors: Lawrence, KD and Geurts, MD
      Additional Information: This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited
      Themes: Subjects outside of the University Themes
      Schools: Colleges and Schools > College of Business & Law > Salford Business School > Management Science and Statistics
      Publisher: Emerald
      Refereed: Yes
      ISBN: 9781848555488
      Depositing User: Users 29196 not found.
      Date Deposited: 12 Dec 2011 10:28
      Last Modified: 20 Aug 2013 18:19

      Actions (login required)

      Edit record (repository staff only)

      No Altmetrics available

      Downloads per month over past year

      View more statistics