The University of Southampton
University of Southampton Institutional Repository

Advanced inventory planning and forecasting solutions: a case study of the UKTLCS Chinook maintenance programme

Downing, Mathew, Chipulu, Maxwell, Ojiako, Udechukwu and Kaparis, Dinos (2014) Advanced inventory planning and forecasting solutions: a case study of the UKTLCS Chinook maintenance programme Production Planning and Control, 25, (1), pp. 73-90. (doi:10.1080/09537287.2012.658451).

Record type: Article

Abstract

This article which advances on earlier published work by the authors, evaluates the forecasting performance of the inventory planning and forecasting support system used by Boeing's United Kingdom Through Life Customer Support to manage inventory for the maintenance of the Royal Air force fleet of Chinook helicopters. Focussing mainly on a sample of the spare-part components considered most influential on maintenance costs, limitations in the current forecasting system are identified. Approaches for improving forecasting performance are explored using Visual Basic for Applications (VBA)-based tools. It is found that generic proprietary inventory and forecasting systems can be enhanced by using VBA tools that allow detailed examination of each component's demand time series. For propriety reasons, all data have been sanitised

PDF Downing et al Boeing Forecasting Accepted Manuscript.pdf - Accepted Manuscript
Download (586kB)

More information

Published date: 1 January 2014
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 208475
URI: http://eprints.soton.ac.uk/id/eprint/208475
ISSN: 0953-7287
PURE UUID: d69756e2-e1f4-4b84-b996-5d99dd2416b2
ORCID for Maxwell Chipulu: ORCID iD orcid.org/0000-0002-0139-6188

Catalogue record

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

Export record

Altmetrics

Contributors

Author: Mathew Downing
Author: Maxwell Chipulu ORCID iD
Author: Udechukwu Ojiako
Author: Dinos 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.

×