The University of Southampton
University of Southampton Institutional Repository

Forecasting in airforce supply chains

Downing, Matthew, Chipulu, M., Ojiako, Udechukwu and Kaparis, D. (2011) Forecasting in airforce supply chains The International Journal of Logistics Management, 22, (1), pp. 127-144. (doi:10.1108/09574091111127589).

Record type: Article

Abstract

Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations. The purpose of this paper is to utilise systems-based forecasting to conduct an evaluation of inventory and forecasting systems being used to support its maintenance programme.

Design/methodology/approach – A case study is conducted. Data are collected from existing monthly Component Repair (CRP) data and performance evaluation of software. For propriety reasons, all data have been sanitised.

Findings – Analysis of the current inventory and forecasting system suggests a possible lack of forecasting precision. Current non-specific formulation of forecasting techniques implied several of the cost driver's demands were being miscalculated. This lack of precision is possibly a result of the smoothing value of 0.01 being too low, especially as the results of statistical modelling suggest that current parameter values of 0.01 might be too low.

Originality/value – The paper reports on work conducted jointly between Boeing and the University of Southampton that sought to create an intermittent demand forecasting model.

Full text not available from this repository.

More information

Published date: 1 January 2011
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 208481
URI: http://eprints.soton.ac.uk/id/eprint/208481
ISSN: 0957-4093
PURE UUID: 15f97683-e53e-4500-9958-eeab84a33d62
ORCID for M. Chipulu: ORCID iD orcid.org/0000-0002-0139-6188

Catalogue record

Date deposited: 19 Jan 2012 15:17
Last modified: 18 Jul 2017 10:48

Export record

Altmetrics

Contributors

Author: Matthew Downing
Author: M. Chipulu ORCID iD
Author: Udechukwu Ojiako
Author: D. Kaparis

University divisions

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.

×