A retrospective analysis of engineering change orders to identify potential for future improvements

Martina Carolina Wickel, Udo Lindemann

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

4 Scopus citations

Abstract

A serious part of development capacity in industry is needed for implementing Engineering Changes (EC) in order to improve or adapt products. Companies usually apply workflowmanagement systems to administrate and document these ECs. Within this paper typically available data which arise within Engineering Change Management (ECM) processes were established based on a real data base with approximately 53,000 Engineering Change Orders (ECO) and a literature review. Subsequently, strategies for coping with ECs were examined in detail in order to derive indicators. These indicators signal which EC strategy should be selected. Resultant patterns of EC data were established, which in retrospect indicate that a change could have been identified earlier in the design process (front-loading), could have been prevented, or could have been implemented more efficiently or more effectively. These patterns shall aid Engineering Change Managers to identify the right strategy and activities for coping with ECs.

Original languageEnglish
Title of host publicationProceedings of NordDesign 2014 Conference, NordDesign 2014
EditorsMiko Laakso, Kalevi Ekman
PublisherAalto University
Pages692-701
Number of pages10
ISBN (Electronic)9781904670582
StatePublished - 2014
Event10th Biannual NordDesign Conference, NordDesign 2014 - Espoo, Finland
Duration: 27 Aug 201429 Aug 2014

Publication series

NameProceedings of NordDesign 2014 Conference, NordDesign 2014

Conference

Conference10th Biannual NordDesign Conference, NordDesign 2014
Country/TerritoryFinland
CityEspoo
Period27/08/1429/08/14

Keywords

  • Engineering change management
  • Knowledge discovery in databases
  • Learning

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