An Integration Methodology for Automated Recurring Cost Prediction using Digital Manufacturing Technology

Yan Jin, Ricky Curran, Robert Burke, Brian Welch

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The need to account for the effect of design decisions on manufacture and the impact of manufacturing cost on the life cycle cost of any product are well established. In this context, digital design and manufacturing solutions have to be further developed to facilitate and automate the integration of cost as one of the major driver in the product life cycle management. This article is to present an integration methodology for implementing cost estimation capability within a digital manufacturing environment. A digital manufacturing structure of knowledge databases are set out and the ontology of assembly and part costing that is consistent with the structure is provided. Although the methodology is currently used for recurring cost prediction, it can be well applied to other functional developments, such as process planning. A prototype tool is developed to integrate both assembly time cost and parts manufacturing costs within the same digital environment. An industrial example is used to validate this approach.
Original languageEnglish
Pages (from-to)326-339
Number of pages14
JournalInternational Journal of Computer Integrated Manufacturing
Issue number4-5
Early online date29 Jul 2011
Publication statusPublished - 2012

Bibliographical note

Journal impact factor: 1.019


  • Recurring cost
  • Digital manufacturing
  • Aircraft assembly

ASJC Scopus subject areas

  • Computer Science Applications
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering


Dive into the research topics of 'An Integration Methodology for Automated Recurring Cost Prediction using Digital Manufacturing Technology'. Together they form a unique fingerprint.

Cite this