A Decision Framework for AI/MLOps Toolchain Selection in Manufacturing

Martin Bischof, Florian Wahl

2025

Abstract

This paper addresses the growing challenge of implementing and selecting appropriate Machine Learning Operations toolchains in manufacturing environments, where computer vision applications are becoming increasingly prevalent. We introduce a comprehensive framework that uniquely combines MLOps platform evaluation criteria with a practical workflow methodology tailored for manufacturing settings. To validate our framework, we conducted experiments using the MVTec Anomaly Detection dataset, achieving 77.78 % accuracy in granular defect-type classification when deployed through a commercial MLOps platform. Our framework effectively bridges the gap between theoretical principles and real-world manufacturing constraints by emphasizing both technical requirements and workflow considerations. This research advances industrial AI implementation by providing a systematic methodology that transcends conventional data mining approaches while specifically addressing manufacturing-sector challenges. Our findings demonstrate that successful MLOps toolchain selection necessitates a balanced evaluation of both functional capabilities and implementation workflows.

Paper Citation

in Harvard Style

Bischof M. and Wahl F. (2025). A Decision Framework for AI/MLOps Toolchain Selection in Manufacturing. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 439-446. DOI: 10.5220/0013523400003967

in Bibtex Style

@conference{data25,
author={Martin Bischof and Florian Wahl},
title={A Decision Framework for AI/MLOps Toolchain Selection in Manufacturing},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={439-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013523400003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - A Decision Framework for AI/MLOps Toolchain Selection in Manufacturing
SN - 978-989-758-758-0
AU - Bischof M.
AU - Wahl F.
PY - 2025
SP - 439
EP - 446
DO - 10.5220/0013523400003967
PB - SciTePress