Papers Papers/2022 Papers Papers/2022



Authors: Oliver Böhme and Tobias Meisen

Affiliation: Chair for Technologies and Management of Digital Transformation, Bergische Universität Wuppertal, Rainer-Gruenter-Str. 21, Wuppertal, Germany

Keyword(s): Machine Learning, Classification, Prediction, Deep Neural Networks, MLP, LSTM, Multivariate, Automotive, R&D, Projects Progressions, Project Life Cycle, Comparative Analysis.

Abstract: The increasing complexity in automotive product development is forcing traditional manufacturers to fundamentally rethink. As a result, many companies are already investing in the development of methods to increase the controllability of their development processes. The use of data-driven approaches is a promising way to provide an early prediction of potential problems in the course of a project by learning from the past. In vehicle development, projects can be divided into two basic categories: new vehicle launches and model enhancement projects. The course of projects according to the above-mentioned categories can be based on different influencing factors. To verify this hypothesis and to determine the extent of the differences in the data, we carry out a data-driven classification of the project category. In contrast to the recognition of other time-dependent data (e.g., univariate sensor data courses), we use multivariate project information from the automotive industry. With t his paper, which is of an application nature, we prove that a multivariate classification of automotive projects can be realized based on the underlying project’s progression. (More)


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Böhme, O. and Meisen, T. (2021). Applied Feature-oriented Project Life Cycle Classification. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA, ISBN 978-989-758-521-0; ISSN 2184-285X, pages 285-291. DOI: 10.5220/0010578402850291

author={Oliver Böhme. and Tobias Meisen.},
title={Applied Feature-oriented Project Life Cycle Classification},
booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA,},


JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA,
TI - Applied Feature-oriented Project Life Cycle Classification
SN - 978-989-758-521-0
IS - 2184-285X
AU - Böhme, O.
AU - Meisen, T.
PY - 2021
SP - 285
EP - 291
DO - 10.5220/0010578402850291