Applied Feature-oriented Project Life Cycle Classification

Oliver Böhme, Tobias Meisen

2021

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 this 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.

Paper Citation

in Harvard Style

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 - Volume 1: DATA, ISBN 978-989-758-521-0, pages 285-291. DOI: 10.5220/0010578402850291

in Bibtex Style

@conference{data21,
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 - Volume 1: DATA,},
year={2021},
pages={285-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010578402850291},
isbn={978-989-758-521-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Applied Feature-oriented Project Life Cycle Classification
SN - 978-989-758-521-0
AU - Böhme O.
AU - Meisen T.
PY - 2021
SP - 285
EP - 291
DO - 10.5220/0010578402850291