Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information

N. Kattner; J. Mehlstaeubl; L. Becerril; U. Lindemann

doi:10.1109/IEEM.2018.8607469

Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information

N. Kattner, J. Mehlstaeubl, L. Becerril, U. Lindemann

Chair of Product Development and Lightweight Design

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Successful communication and collaboration within companies is crucial for competitive product development. Hence, this paper presents an approach to identify organizational dependencies based on past engineering change information using structural complexity management and graph-based analysis. It therefore introduces a meta-model describing the interrelations in change information and defines rules to identify dependencies. Furthermore, it applies the method on a data set of engineering change requests to evaluate the approach.

Original language	English
Title of host publication	2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Publisher	IEEE Computer Society
Pages	617-621
Number of pages	5
ISBN (Electronic)	9781538667866
DOIs	https://doi.org/10.1109/IEEM.2018.8607469
State	Published - 2 Jul 2018
Event	2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand Duration: 16 Dec 2018 → 19 Dec 2018

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2019-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Country/Territory	Thailand
City	Bangkok
Period	16/12/18 → 19/12/18

Keywords

Collaboration
Data Analysis
Engineering Change
Engineering Change Management
Performance Improvements

Access to Document

10.1109/IEEM.2018.8607469

Cite this

Kattner, N., Mehlstaeubl, J., Becerril, L., & Lindemann, U. (2018). Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 (pp. 617-621). Article 8607469 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2018.8607469

Kattner, N. ; Mehlstaeubl, J. ; Becerril, L. et al. / Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information. 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, 2018. pp. 617-621 (IEEE International Conference on Industrial Engineering and Engineering Management).

@inproceedings{7203d3c033874c31a1906245f0ab7c99,

title = "Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information",

abstract = "Successful communication and collaboration within companies is crucial for competitive product development. Hence, this paper presents an approach to identify organizational dependencies based on past engineering change information using structural complexity management and graph-based analysis. It therefore introduces a meta-model describing the interrelations in change information and defines rules to identify dependencies. Furthermore, it applies the method on a data set of engineering change requests to evaluate the approach.",

keywords = "Collaboration, Data Analysis, Engineering Change, Engineering Change Management, Performance Improvements",

author = "N. Kattner and J. Mehlstaeubl and L. Becerril and U. Lindemann",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 ; Conference date: 16-12-2018 Through 19-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/IEEM.2018.8607469",

language = "English",

series = "IEEE International Conference on Industrial Engineering and Engineering Management",

publisher = "IEEE Computer Society",

pages = "617--621",

booktitle = "2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018",

}

Kattner, N, Mehlstaeubl, J, Becerril, L & Lindemann, U 2018, Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information. in 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018., 8607469, IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2019-December, IEEE Computer Society, pp. 617-621, 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018, Bangkok, Thailand, 16/12/18. https://doi.org/10.1109/IEEM.2018.8607469

Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information. / Kattner, N.; Mehlstaeubl, J.; Becerril, L. et al.
2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society, 2018. p. 617-621 8607469 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2019-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information

AU - Kattner, N.

AU - Mehlstaeubl, J.

AU - Becerril, L.

AU - Lindemann, U.

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Successful communication and collaboration within companies is crucial for competitive product development. Hence, this paper presents an approach to identify organizational dependencies based on past engineering change information using structural complexity management and graph-based analysis. It therefore introduces a meta-model describing the interrelations in change information and defines rules to identify dependencies. Furthermore, it applies the method on a data set of engineering change requests to evaluate the approach.

AB - Successful communication and collaboration within companies is crucial for competitive product development. Hence, this paper presents an approach to identify organizational dependencies based on past engineering change information using structural complexity management and graph-based analysis. It therefore introduces a meta-model describing the interrelations in change information and defines rules to identify dependencies. Furthermore, it applies the method on a data set of engineering change requests to evaluate the approach.

KW - Collaboration

KW - Data Analysis

KW - Engineering Change

KW - Engineering Change Management

KW - Performance Improvements

UR - http://www.scopus.com/inward/record.url?scp=85061822654&partnerID=8YFLogxK

U2 - 10.1109/IEEM.2018.8607469

DO - 10.1109/IEEM.2018.8607469

M3 - Conference contribution

AN - SCOPUS:85061822654

T3 - IEEE International Conference on Industrial Engineering and Engineering Management

SP - 617

EP - 621

BT - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018

PB - IEEE Computer Society

T2 - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018

Y2 - 16 December 2018 through 19 December 2018

ER -

Kattner N, Mehlstaeubl J, Becerril L, Lindemann U. Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018. IEEE Computer Society. 2018. p. 617-621. 8607469. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2018.8607469

Data Analysis in Engineering Change Management - Improving Collaboration by Assessing Organizational Dependencies Based on Past Engineering Change Information

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this