Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation

Stefan Börzel, Jörg Frochte

2019

Abstract

In many industries, the development is aimed towards Industry 4.0, which is accompanied by a movement from large to small quantities of individually adapted products in a multitude of variants. In this scenario, it is essential to be able to provide the price for these small batches fast and without additional costs to the customer. This is a big challenge in technical applications in which this price calculation is in general performed by local experts. From the age of expert systems, one knows how hard it is to achieve a formalised model-based on expert knowledge. So it makes sense to use today’s machine learning techniques. Unfortunately, the small batches combined with typically small and midsize production enterprises (SMEs) lead to smaller databases to rely on. This comes along with data which is often based on 3D data or other sources that lead in the first step to a lot of features. In this paper, we present an approach for such use cases that combines the advantages of model-based approaches with modern machine learning techniques, as well as a discussion on feature generation from CAD data and reduction to a low-dimensional representation of the customer requests.

Paper Citation

in Harvard Style

Börzel S. and Frochte J. (2019). Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 258-265. DOI: 10.5220/0007979802580265

in Bibtex Style

@conference{kdir19,
author={Stefan Börzel and Jörg Frochte},
title={Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={258-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007979802580265},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation
SN - 978-989-758-382-7
AU - Börzel S.
AU - Frochte J.
PY - 2019
SP - 258
EP - 265
DO - 10.5220/0007979802580265
PB - SciTePress