Daniel Buschmann
YOU?
Author Swipe
View article: Information requirements analysis for process-oriented decision support via predictive quality models in production
Information requirements analysis for process-oriented decision support via predictive quality models in production Open
1428
View article: Measurement of contact pattern displacement of hypoid gears with optical thermal camera
Measurement of contact pattern displacement of hypoid gears with optical thermal camera Open
When optimizing the micro geometry in the development process of a gear set, the deflection behavior under load situations is important to predict the realistic component life span and acoustic behavior. Most common experimental deflection…
View article: Evaluation Methodology for Interpretation Methods of Predictive Quality Models
Evaluation Methodology for Interpretation Methods of Predictive Quality Models Open
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: A survey on information requirements analysis for failure management and analysis in production
A survey on information requirements analysis for failure management and analysis in production Open
Failure management is essential in production environments to prevent disruptions and satisfy customers' expectations of product quality. Of central importance is not only the establishment of standardized failure management processes but …
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: Comparison of Feature Extraction Algorithms for Prediction of Quality Characteristics
Comparison of Feature Extraction Algorithms for Prediction of Quality Characteristics Open
579
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: Potentials of Bluetooth Low Energy Beacons for order tracing in single and small batch production
Potentials of Bluetooth Low Energy Beacons for order tracing in single and small batch production Open
View article: Methodological Assessment of Data Suitability for Defect Prediction
Methodological Assessment of Data Suitability for Defect Prediction Open
Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.Methodology/Approach: A seven-phase methodology is developed in which the data suita…