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View article: Improving Shop Floor-Near Production Management Through Data-Driven Insights
Improving Shop Floor-Near Production Management Through Data-Driven Insights Open
In short-term production management of the Internet of Production (IoP) the vision of a Production Control Center is pursued, in which interlinked decision-support applications contribute to increasing decision-making quality and speed. Th…
View article: Acquiring Process Knowledge in Extrusion-Based Additive Manufacturing via Interpretable Machine Learning
Acquiring Process Knowledge in Extrusion-Based Additive Manufacturing via Interpretable Machine Learning Open
Additive manufacturing (AM), especially the extrusion-based process, has many process parameters which influence the resulting part properties. Those parameters have complex interdependencies and are therefore difficult if not impossible t…
View article: A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series Open
Causal inference is a fundamental research topic for discovering the cause–effect relationships in many disciplines. Inferring causality means identifying asymmetric relations between two variables. In real-world systems, e.g., finance, he…
View article: Improving Shop Floor-Near Production Management Through Data-Driven Insights
Improving Shop Floor-Near Production Management Through Data-Driven Insights Open
In short-term production management of the Internet of Production (IoP) the vision of a Production Control Center is pursued, in which interlinked decision-support applications contribute to increasing decision-making quality and speed. Th…
View article: Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support
Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support Open
In the context of predictive quality in production, there is a need to explain and understand the predictive models used, as well as the dependencies present in the underlying data. For this purpose, we develop a framework for model-indepe…
View article: K&I 2022 Cover Page
K&I 2022 Cover Page Open
View article: ProdSim: An Open-source Python Package for Generating High-resolution Synthetic Manufacturing Data on Product, Machine and Shop-Floor Levels
ProdSim: An Open-source Python Package for Generating High-resolution Synthetic Manufacturing Data on Product, Machine and Shop-Floor Levels Open
Due to steadily increasing product and manufacturing complexity, the mutual dependencies between production system states and product properties increase as well. The flow of information in a multi-stage production setup also represents a …
View article: Data-driven decision support for process quality improvements
Data-driven decision support for process quality improvements Open
This paper presents a data-driven approach for improving the process quality of production systems. Therefore, the product quality is detected during the production process. The worker is provided with reasonable parameter recommendations …
View article: Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool
Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool Open