Skip to main navigation Skip to search Skip to main content

Visualizing information flow in engineering change management processes

  • Technical University of Munich

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

Abstract

Engineering Change Management (ECM) processes support the identification of, decision on an implementation of engineering changes. Although several reference ECM processes exist, their current visualization in industry and research rarely includes the dependencies or the information flows among the activities. However, practitioners report lack of transparency and of "fast track" processes for time-critical changes. This paper proposes an ECM process that is modeled as a network of activities and information with help of DSM-based methods. The proposed process model includes a fast track for time-critical changes and aims to tackle the lack of transparency in current ECM processes. Furthermore, two new DSM-based process visualization approaches are introduced and discussed with regard of the goals of this paper.

Original languageEnglish
Title of host publicationUnderstand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference
EditorsTyson R. Browning, Steven D. Eppinger, Lucia Becerril, Katja Holtta-Otto
PublisherThe Design Society
Pages71-80
Number of pages10
ISBN (Electronic)9783000574795
StatePublished - 2017
Event19th International Dependency and Structure Modeling Conference, DSM 2017 - Espoo, Finland
Duration: 11 Sep 201713 Sep 2017

Publication series

NameUnderstand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference

Conference

Conference19th International Dependency and Structure Modeling Conference, DSM 2017
Country/TerritoryFinland
CityEspoo
Period11/09/1713/09/17

Keywords

  • DSM
  • Engineering Change Management
  • MDM
  • Processes

Fingerprint

Dive into the research topics of 'Visualizing information flow in engineering change management processes'. Together they form a unique fingerprint.

Cite this