Classification for forecasting and stock control: a case-study

Boylan, John; Syntetos, Aris A. and Karakostas, G. (2008) Classification for forecasting and stock control: a case-study. Journal of the Operational Research Society, 59. pp. 473-481. ISSN 0160-5682

Full text not available from this repository.

Abstract

Different stock keeping units (SKUs) are associated with different underlying demand structures, which in turn require different methods for forecasting and stock control. Consequently, there is a need to categorize SKUs and apply the most appropriate methods in each category. The way this task is performed has significant implications in terms of stock and customer satisfaction. Therefore, categorization rules constitute a vital element of intelligent inventory management systems. Very little work has been conducted in this area and, from the limited research to date, it is not clear how managers should classify demand patterns for forecasting and inventory management. A previous research project was concerned with the development of a theoretically coherent demand categorization scheme for forecasting only. In this paper, the stock control implications of such an approach are assessed by experimentation on an inventory system developed by a UK-based software manufacturer. The experimental database consists of the individual demand histories of almost 16 000 SKUs. The empirical results from this study demonstrate considerable scope for improving real-world systems.

Item Type: Article
Members: Bucks New University
Depositing User: ULCC Admin
Date Deposited: 24 Jul 2012 12:40
Last Modified: 13 Dec 2016 10:20
URI: http://collections.crest.ac.uk/id/eprint/9831

Actions (login required)

Edit Item Edit Item