Cost Data Modelling and Searching to Support Low Volume, High Complexity, Long Life Defence Systems Development

Cheung, Wai Ming, Marsh, Robert, Newnes, Linda, Mileham, Antony and Lanham, John (2015) Cost Data Modelling and Searching to Support Low Volume, High Complexity, Long Life Defence Systems Development. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229 (5). pp. 835-846. ISSN 0954-4054

PDF (Full text)
JEM-13-0800.R1_manuscripts.pdf - Accepted Version

Download (996kB) | Preview
Official URL:


This paper presents a data modelling and a semi-automatic data searching method to support cost estimation in the product development process, particularly for low volume, high complexity and long life products typified by defence products and systems. The paper covers a literature review in the area of cost estimation in product development, the data sets needed to perform cost estimation, the method of modelling the data and the techniques of supporting cost data searching. The proposed method will be used to support cost estimation of product development decisions for defence electronic products. To compare with the traditional approach, the method has demonstrated that by creating a centralised environment such as the databases and using a data-driven approach, the system is made more efficient by reducing the number of processes in carrying out cost estimation and thus this provides more information to make an informed concept design decision during the product development process based on the systems competence of instant cost estimation feedback.

Item Type: Article
Additional Information: Published online before print - 13 June 2014
Subjects: H100 General Engineering
H300 Mechanical Engineering
H700 Production and Manufacturing Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Wai Ming Cheung
Date Deposited: 19 Jun 2014 11:44
Last Modified: 17 Dec 2023 15:04

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics