This project aims to develop a methodology for the systematic selection and implementation of identifier systems in manufacturing, with a focus on ultrashort-pulsed (UKP) laser systems. By creating a robust identification framework tailored to manufacturing environments, the project will enhance data traceability, interoperability, and reusability within data-driven feedback loops, particularly in highly automated settings. The resulting methodology will support the seamless integration of measurement and control data, enabling advanced data tracking and analysis without compromising production information.
Thesis Type |
|
Student |
Max Kocher |
Status |
Running |
Supervisor(s) |
Johannes Theissen-Lipp |
Advisor(s) |
Johannes Theissen-Lipp |
Contact |
theissen-lipp@dbis.rwth-aachen.de |
Background
The selection of identifier systems in manufacturing is often unsystematic, leading to limited functionality and reuse potential. High automation levels and vast data generation characterize the production engineering field, which presents unique opportunities for improving data traceability, resilience, and exchange through optimized identifier systems. However, many current approaches lack a structured methodology, often neglecting essential aspects like data source traceability, cross-dataset consistency, and practical usability. This gap can hinder scalability and system interoperability, especially within advanced manufacturing contexts such as UKP laser applications.
Objectives
- Evaluate existing identifier systems: Analyze current identifier systems and their suitability for various
manufacturing use cases. - Develop a structured methodology: Create a method for selecting identifier systems that address
manufacturing-specific requirements, including scalability, traceability, and data exchange. - Integrate identifier systems into feedback loops: Implement the selected identifier system in the UKP laser data
infrastructure to support data-driven decision-making and process optimization. - Validate through real-world application: Test and validate the methodology on actual UKP laser systems, ensuring
alignment with the unique demands of the production environment.
Tasks
- Identifier System Analysis
- Review existing identifier systems, assessing their strengths and weaknesses relative to manufacturing
needs. - Categorize systems based on suitability for data exchange, traceability, and robustness within
industrial settings.
- Review existing identifier systems, assessing their strengths and weaknesses relative to manufacturing
- Methodology Development
- Define criteria for identifier selection, considering factors like traceability, data consistency, and
compatibility with control data. - Develop a framework for selecting identifier systems tailored to use cases within production and
manufacturing.
- Define criteria for identifier selection, considering factors like traceability, data consistency, and
- Implementation in Production Process
- Integrate a selected identifier system into the UKP production process, defining global, unique, and
persistent identifiers for manufacturing data.
- Integrate a selected identifier system into the UKP production process, defining global, unique, and
- Validation and Evaluation
- Test the identifier system within the production environment to validate its robustness, efficiency, and
alignment with UKP use-case requirements.
- Test the identifier system within the production environment to validate its robustness, efficiency, and