How to build up an engineering change dependency model based on past change data?

Martina Carolina Wickel, Udo Lindemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Coping with engineering changes (EC) is a challenge in engineering design of complex products, since changes prone to propagate and produce further changes on components and processes. This is due to the high connectivity of components in complex systems. There has been a lot of research regarding methods based on product structure models (e.g. in form of DSMs) to predict and assess the propagation of engineering changes. These models are normally generated in interviews with experts, which estimate the propagation of ECs on component-level. Thus, the procedure is very time-consuming and methods are often not profitable applicable. This paper aims to present an approach of how an EC dependency model can be generated with less effort by applying the MDM methodology combined with data mining techniques by using commonly available EC data in industry. Data mining techniques enable the extraction and quantification of the dependencies in the model.

Original languageEnglish
Title of host publicationModeling and Managing Complex Systems - Proceedings of the 17th International DSM Conference
EditorsTyson R. Browning, Steven D. Eppinger, Danilo Marcello Schmidt, Udo Lindemann
PublisherCarl Hanser Verlag
Pages221-231
Number of pages11
ISBN (Electronic)9783446445734
DOIs
StatePublished - 2015
Event17th International Dependency and Structure Modeling Conference, DSM 2015 - Fort Worth, United States
Duration: 4 Nov 20156 Nov 2015

Publication series

NameModeling and Managing Complex Systems - Proceedings of the 17th International DSM Conference

Conference

Conference17th International Dependency and Structure Modeling Conference, DSM 2015
Country/TerritoryUnited States
CityFort Worth
Period4/11/156/11/15

Keywords

  • Engineering change data
  • Engineering change propagation

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