Engineering Change Management Data analysis from the perspective of Information Quality

被引：4

作者：

Jokinen, Lauri ^{[1
]}

Vainio, Ville ^{[1
]}

Pulkkinen, Antti ^{[1
]}

机构：

[1] Tampere Univ Technol, Dept Mech Engn & Ind Syst, POB 589, FIN-33101 Tampere, Finland

来源：

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷

关键词：

Product Lifecycle Management; Information Quality; Collaboration; Engineering Change Management; Product Development; CHANGE ORDERS;

D O I：

10.1016/j.promfg.2017.07.312

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：1626 / 1633

页数：8

共 9 条

[1]

Eppler M.J., 2006, Managing information quality: increasing the value of information in knowledge-intensive products and processes

[2] Design for changeability (DfC): Principles to enable changes in systems throughout their entire lifecycle [J].