Engineering Change Management Data Analysis from the Perspective of Information Quality

Lauri Tapio Jokinen; Ville Veli Vainio; Antti Juhani Pulkkinen

doi:10.1016/j.promfg.2017.07.312

Engineering Change Management Data Analysis from the Perspective of Information Quality

Lauri Tapio Jokinen (Corresponding Author), Ville Veli Vainio, Antti Juhani Pulkkinen

Tampere University of Technology (TUT)

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

5 Citations (Scopus)

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
Journal	Procedia Manufacturing
Volume	11
Early online date	2017
DOIs	https://doi.org/10.1016/j.promfg.2017.07.312
Publication status	Published - 2017
MoE publication type	A1 Journal article-refereed
Event	27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017: Intelligent Manufacturing and Engineering Methods for Industry 4.0 - Modena, Italy Duration: 27 Jun 2017 → 30 Jun 2017

Keywords

Collaboration
Engineering Change Management
Information Quality
Product Development
Product Lifecycle Management

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

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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 = "Jokinen, {Lauri Tapio} and Vainio, {Ville Veli} and Pulkkinen, {Antti Juhani}",

year = "2017",

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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 : Intelligent Manufacturing and Engineering Methods for Industry 4.0, FAIM2017 ; Conference date: 27-06-2017 Through 30-06-2017",

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TY - JOUR

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

AU - Jokinen, Lauri Tapio

AU - Vainio, Ville Veli

AU - Pulkkinen, Antti Juhani

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

UR - http://www.scopus.com/inward/record.url?scp=85029879413&partnerID=8YFLogxK

U2 - 10.1016/j.promfg.2017.07.312

DO - 10.1016/j.promfg.2017.07.312

M3 - Article

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

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