Spare Parts Demand Categorisation in the Defence Material Organization

Assessing the applicability and effectiveness of theoretical categorization schemes and statistical demand forecasting methods in a real-world setting of weapons systems related spare parts demand

Master thesis (2010)

Authors

F.D.E. Drost

Contributors

L.A. Tavasszy (mentor)

M.W. Ludema (mentor)

Z. Lukszo (mentor)

L.C. Pfrommer (mentor)

Programme

TLO () (TU Delft)

Spare Parts Management Demand Forecasting Demand Categorization Statistical Forecasting Methods Theil U1

To reference this document use:

http://resolver.tudelft.nl/uuid:76b7af1b-888e-4674-8900-c544d9b809db

More Info

expand_more

Published Date

28-09-2010

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Programme

TLO

Abstract

In this thesis the current inventory control at the Defence Material Organisation is analysed in light of the pending implementation of the SAP-ECC/DFPS ERP-system for demand forecasting and inventory control. The scope for this research has been set on the demand forecasting of weapon systems related spare parts under training and peace-time conditions. This was done for the Directorate of Material Policy of the Defence Material Organisation (DMO).

Files

Masters_Thesis_F.D.E.Drost.pdf

(pdf | 2.5 Mb)

Download not available