Engineering Change Management Data Analysis from the Perspective of Information Quality

Lauri Jokinen; Ville Vainio; Antti Pulkkinen

doi:10.1016/j.promfg.2017.07.312

Engineering Change Management Data Analysis from the Perspective of Information Quality

Lauri Jokinen, Ville Vainio, Antti Pulkkinen

Research output: Contribution to journal › Article › Scientific › peer-review

6 Citations (Scopus)

95 Downloads (Pure)

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.

Original language	English
Pages (from-to)	1626-1633
Number of pages	8
Journal	Procedia Manufacturing
Volume	11
DOIs	https://doi.org/10.1016/j.promfg.2017.07.312
Publication status	Published - 2017
Publication type	A1 Journal article-refereed
Event	27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017 - Duration: 27 Jun 2017 → 30 Jun 2017

Keywords

Collaboration
Engineering Change Management
Information Quality
Product Development
Product Lifecycle Management

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Artificial Intelligence
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.promfg.2017.07.312Licence: CC BY-NC-ND

1-s2.0-S2351978917305206-mainFinal published version, 245 KBLicence: CC BY-NC-ND

http://urn.fi/URN:NBN:fi:tty-201710182019Licence: CC BY-NC-ND

Cite this

@article{283493df035f40ddb696def22c93c2a5,

title = "Engineering Change Management Data Analysis from the Perspective of Information Quality",

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",

author = "Lauri Jokinen and Ville Vainio and Antti Pulkkinen",

year = "2017",

doi = "10.1016/j.promfg.2017.07.312",

language = "English",

volume = "11",

pages = "1626--1633",

journal = "Procedia Manufacturing",

issn = "2351-9789",

publisher = "Elsevier",

note = "27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017 ; Conference date: 27-06-2017 Through 30-06-2017",

}

TY - JOUR

T1 - Engineering Change Management Data Analysis from the Perspective of Information Quality

AU - Jokinen, Lauri

AU - Vainio, Ville

AU - Pulkkinen, Antti

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Collaboration

KW - Engineering Change Management

KW - Information Quality

KW - Product Development

KW - Product Lifecycle Management

U2 - 10.1016/j.promfg.2017.07.312

DO - 10.1016/j.promfg.2017.07.312

M3 - Article

AN - SCOPUS:85029879413

SN - 2351-9789

VL - 11

SP - 1626

EP - 1633

JO - Procedia Manufacturing

JF - Procedia Manufacturing

T2 - 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017

Y2 - 27 June 2017 through 30 June 2017

ER -

Engineering Change Management Data Analysis from the Perspective of Information Quality

Abstract

Keywords

Publication forum classification

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this