- Flexible and Reconfigurable Manufacturing Systems
- Business Process Modeling and Analysis
- Digital Transformation in Industry
- Scheduling and Optimization Algorithms
- Digital Innovation in Industries
- Manufacturing Process and Optimization
- Real-Time Systems Scheduling
- Software Testing and Debugging Techniques
- Assembly Line Balancing Optimization
- Machine Learning and Data Classification
- Graph Theory and Algorithms
- Corporate Governance and Management
- Service-Oriented Architecture and Web Services
- Physical Unclonable Functions (PUFs) and Hardware Security
Mercedes-Benz (Germany)
2021-2024
Institute of Automation
2021-2023
Technical University of Munich
2021-2023
Abstract The car of the future will be driven by software and offer a variety customisation options. Enabling these options forces modern automotive manufacturers to update their standardised scheduling concepts for testing commissioning cars. A flexible concept means that every chosen customer configuration code must have its own procedure. This is essential provide individual workflows where time resources are optimised car. Manual complicated due constraints on time, predecessor-successor...
In the course of fourth industrial revolution, companies are facing considerable challenges, such as retrofitting and integrating existing, mission-critical automated production systems (aPS) into new interconnected environments. To integrate data from aPS to make it available for analysis plant monitoring, relevant programmable logic controller (PLC) each needs be accessed forwarded. These PLCs, at a first priority, control plants ensure reliable production. Due long life-cycles around 30...
Interest in applications based on business process modelling Industry 4.0 is the rise, with corporations worldwide shifting from simply exploring potential of models to creating productive cases executable cloud computing. However, despite numerous existing modelling, engineers are still lacking proper guidelines for production workflows automotive diagnostics. To address issue, we evaluated Business Process Model and Notation (BPMN) Decision (DMN) as notations assembly lines. Based results,...
Cars with software-intensive features such as autonomous driving bring new opportunities to Original Equipment Manufacturers (OEMs) and their manufacturing processes. The complexity of internal engineering processes is increasing functions are connected electric electronic car architectures, which need be tested enabled for functionality in manufacturing. However, can simplified by automating previously manual activities flexibly managing variants. In this paper, we present a concept the...
The importance of high-performance computers in car networks increases to realize software assistance functions. These offer new opportunities for use cases testing and diagnostics towards vehicle services. Therefore, are no longer limited the functional checking electric electronic components. Proven concepts from computer science, such as business process management, can be integrated into network provide a uniform basis automotive cases. In this paper, (i) Business Process Model Notation...
Abstract Automotive original equipment manufacturers (OEMs) are facing the challenge of keeping their cars innovative for customer by integrating new advanced software functions, e.g., to provide higher levels automated driving. Nonetheless, internal business processes should stay efficient support transformation despite increasing complexity caused information and car technologies. For engineering production where interdisciplinary teams engineers, developers, workers interact along life...
The automotive industry is undergoing technological change that not only shaped by electro mobility, but also the rising importance of customer experience. It puts customers first and manages their journeys with help software. These software-driven experience vehicle functions can promote competitive advantages for company. In ramp-up phase new car models, testing electric electronic conducted on prototypes. functional availability these depends various requirements. Thus, test planning...