The University of Southampton
University of Southampton Institutional Repository

Stock control with sporadic and slow-moving demand

Stock control with sporadic and slow-moving demand
Stock control with sporadic and slow-moving demand
Choosing a stock-control method for a product depends on that product's demand distribution. This paper presents a simple method of classifying product demand into 'smooth', 'slow-moving' or 'sporadic', by partitioning the variance of demand during a lead time into causal parts. A study of a public utility showed demand distributions in each category to be of a specific nature. Stock-control and forecasting methods are developed, and simulation tests are described which compare these methods with (for ease of comparison) the assumption of continuous demand.
0160-5682
939-948
Williams, T.M.
97ef61a6-84e3-4490-8c06-61cad1b729e3
Williams, T.M.
97ef61a6-84e3-4490-8c06-61cad1b729e3

Williams, T.M. (1984) Stock control with sporadic and slow-moving demand. Journal of the Operational Research Society, 35 (10), 939-948. (doi:10.1057/jors.1984.185).

Record type: Article

Abstract

Choosing a stock-control method for a product depends on that product's demand distribution. This paper presents a simple method of classifying product demand into 'smooth', 'slow-moving' or 'sporadic', by partitioning the variance of demand during a lead time into causal parts. A study of a public utility showed demand distributions in each category to be of a specific nature. Stock-control and forecasting methods are developed, and simulation tests are described which compare these methods with (for ease of comparison) the assumption of continuous demand.

This record has no associated files available for download.

More information

Published date: 1984
Additional Information: Theoretical Papers

Identifiers

Local EPrints ID: 36866
URI: http://eprints.soton.ac.uk/id/eprint/36866
ISSN: 0160-5682
PURE UUID: 47a91356-8ef9-4706-9927-cf92a2035871

Catalogue record

Date deposited: 01 Mar 2007
Last modified: 15 Mar 2024 07:57

Export record

Altmetrics

Contributors

Author: T.M. Williams

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×