TY - JOUR A1 - Neuber, Till A1 - Schmitt, Anna-Maria A1 - Engelmann, Bastian A1 - Schmitt, Jan T1 - Evaluation of the Influence of Machine Tools on the Accuracy of Indoor Positioning Systems JF - Sensors Y1 - 2022 VL - 22 IS - 24 SP - 10015 EP - 10015 ER - TY - JOUR A1 - Engelmann, Bastian A1 - Schmitt, Simon A1 - Miller, Eddi A1 - Bräutigam, Volker A1 - Schmitt, Jan T1 - Advances in machine learning detecting changeover processes in cyber physical production systems JF - Journal of Manufacturing and Materials Processing N2 - The performance indicator, Overall Equipment Effectiveness (OEE), is one of the most important ones for production control, as it merges information of equipment usage, process yield, and product quality. The determination of the OEE is oftentimes not transparent in companies, due to the heterogeneous data sources and manual interference. Furthermore, there is a difference in present guidelines to calculate the OEE. Due to a big amount of sensor data in Cyber Physical Production Systems, Machine Learning methods can be used in order to detect several elements of the OEE by a trained model. Changeover time is one crucial aspect influencing the OEE, as it adds no value to the product. Furthermore, changeover processes are fulfilled manually and vary from worker to worker. They always have their own procedure to conduct a changeover of a machine for a new product or production lot. Hence, the changeover time as well as the process itself vary. Thus, a new Machine Learning based concept for identification and characterization of machine set-up actions is presented. Here, the issue to be dealt with is the necessity of human and machine interaction to fulfill the entire machine set-up process. Because of this, the paper shows the use case in a real production scenario of a small to medium size company (SME), the derived data set, promising Machine Learning algorithms, as well as the results of the implemented Machine Learning model to classify machine set-up actions. Y1 - 2020 UR - https://www.proquest.com/docview/2461685989?pq-origsite=gscholar&fromopenview=true VL - 4 IS - 4 SP - 108 EP - 108 ER - TY - JOUR A1 - Engelmann, Bastian A1 - Schmitt, Anna-Maria A1 - Theilacker, Lukas A1 - Schmitt, Jan T1 - Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing JF - Journal of Manufacturing and Materials Processing Y1 - 2024 UR - https://doi.org/10.3390/jmmp8010015 VL - 2024 ER - TY - JOUR A1 - Schmitt, Anna-Maria A1 - Miller, Eddi A1 - Engelmann, Bastian A1 - Batres, Rafael A1 - Schmitt, Jan T1 - G-code evaluation in CNC milling to predict energy consumption through Machine Learning JF - Advances in Industrial and Manufacturing Engineering N2 - Computerized Numeric Control (CNC) plays an essential role in highly autonomous manufacturing systems for interlinked process chains for machine tools. NC-programs are mostly written in standardized G-code. Evaluating CNC-controlled manufacturing processes before their real application is advantageous due to resource efficiency. One dimension is the estimation of the energy demand of a part manufactured by an NC-program, e.g. to discover optimization potentials. In this context, this paper presents a Machine Learning (ML) approach to assess G-code for CNC-milling processes from the perspective of the energy demand of basic G-commands. We propose Latin Hypercube Sampling as an efficient method of Design of Experiments to train the ML model with minimum experimental effort to avoid costly setup and implementation time of the model training and deployment. KW - Machine Learning KW - CNC machine tools KW - G-code KW - Energy consumption Y1 - 2024 UR - https://doi.org/10.1016/j.aime.2024.100140 VL - 2024 IS - 8 ER - TY - JOUR A1 - Stühm, Kai A1 - Tornow, Alexander A1 - Schmitt, Jan A1 - Grunau, Leonard A1 - Dietrich, Franz A1 - Dröder, Klaus T1 - A novel gripper for battery electrodes based on the Bernoulli-principle with integrated exhaust air compensation JF - Procedia CIRP Y1 - 2014 VL - 23 SP - 161 EP - 164 ER - TY - CHAP A1 - Schmitt, Jan A1 - Inkermann, David A1 - Stechert, Carsten A1 - Raatz, Annika A1 - Vietor, Thomas T1 - Requirement oriented reconfiguration of parallel robotic systems T2 - Robotic Systems-Applications, Control and Programming Y1 - 2012 SP - 387 EP - 410 ER - TY - JOUR A1 - Jan Schmitt, Kai Stühm, Annika Raatz, Klaus Dröder T1 - Simulating production effects on lithium-ion batteries JF - AABC Y1 - 2013 ER - TY - CHAP A1 - Cerdas, Felipe A1 - Gerbers, Roman A1 - Andrew, Stefan A1 - Schmitt, Jan A1 - Dietrich, Franz A1 - Thiede, Sebastian A1 - Dröder, Klaus A1 - Herrmann, Christoph T1 - Disassembly planning and assessment of automation potentials for lithium-ion batteries T2 - Recycling of Lithium-Ion Batteries: The LithoRec Way Y1 - 2018 SP - 83 EP - 97 ER - TY - JOUR A1 - Herrmann, Christoph A1 - Raatz, Annika A1 - Andrew, Stefan A1 - Schmitt, Jan T1 - Scenario-based development of disassembly systems for automotive lithium ion battery systems JF - Advanced Materials Research Y1 - 2014 VL - 907 SP - 391 EP - 401 ER - TY - JOUR A1 - Schmitt, Jan A1 - Raatz, Annika A1 - Dietrich, Franz A1 - Dröder, Klaus A1 - Hesselbach, Jürgen T1 - Process and performance optimization by selective assembly of battery electrodes JF - CIRP Annals Y1 - 2014 VL - 63 IS - 1 SP - 9 EP - 12 ER -