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DERIVATION OF DESCRIPTION FEATURES FOR ENGINEERING CHANGE REQUEST BY AID OF LATENT DIRICHLET ALLOCATION

Part of: Design Organisation and Management

Published online by Cambridge University Press:  11 June 2020

M. Riesener ,
C. Dölle ,
M. Mendl-Heinisch ,
G. Schuh  and
A. Keuper
M. Riesener
Affiliation:
RWTH Aachen University, Germany
C. Dölle
Affiliation:
RWTH Aachen University, Germany
M. Mendl-Heinisch
Affiliation:
RWTH Aachen University, Germany
G. Schuh
Affiliation:
RWTH Aachen University, Germany
A. Keuper*
Affiliation:
RWTH Aachen University, Germany
*
*a.keuper@wzl.rwth-aachen.de

Abstract

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Complex products and shorter development cycles lead to an increasing number of engineering changes. In order to be able to process these changes more effectively and efficiently, this paper develops a description model as a first step towards a data driven approach of processing engineering change requests. The description model is systematically derived from literature using text mining and natural language processing techniques. An example of the application is given by an automated classification based on similarity calculations between new and historic engineering change requests.

Keywords

engineering changeproduct developmentdata mininglatent dirichlet allocationautomated classification
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 697 - 706
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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