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Engineering Change Management Data Analysis from the Perspective of Information Quality

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)1626-1633
Number of pages8
JournalProcedia Manufacturing
Volume11
DOIs
Publication statusPublished - 2017
Publication typeA1 Journal article-refereed
Event27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017 -
Duration: 27 Jun 201730 Jun 2017

Abstract

An efficient change management process is vital to companies in order to continuously improve their products. The processing times for Engineering Change Requests (ECR) vary from hours to years. The long processing times lead to unnecessary delays to requested fixes and improvements. This paper is based on analysis of Engineering Change Objects and semi-structured interviews in a case company, where the number of ECRs has been increasing significantly. The goal of the research was to find out reasons for varying ECR processing times. However, analyzing the data afterwards is difficult because part of the modification history disappears during the process.

Keywords

  • Collaboration, Engineering Change Management, Information Quality, Product Development, Product Lifecycle Management

Publication forum classification

Field of science, Statistics Finland

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