Zero-Defect Manufacturing

Dear Colleagues,

Zero-defect manufacturing (ZDM) is a research area that has increased in importance with the emergence of flexible production processes, customized products, and additive manufacturing. Traditional quality control that builds upon statistical data of long-term series production is not applicable to this type of manufacturing processes. There is a need to obtain products within tolerance limits more quickly, ideally with a “first time right” approach. ZDM is a collection of technologies that all aim at getting a better and complete understanding of the relationship between materials, processes, and quality. By closing the feedback loop from quality control to the process, adjustments of process parameters can be made before rejects parts are manufactured. ZDM also contributes to environmental sustainability by reducing waste that is often difficult to recycle.

We are particularly interested in (but not limited to) contributions that report on results from real-world production process on topics such as:

• Modeling the material/process/quality relationships in multi-stage production processes
• Analysis of error propagation through manufacturing processes
• Digital twins of manufacturing processes and products
• Sensor systems including high level data analysis to extract process information beyond defect detection
• Sensor data analysis methods including machine learning methods
• Transfer learning methods for re-using knowledge acquired in different production processes or production lines
• Simulation tools for predicting product performance based on products “as manufactured” as compared to “as designed”
• Sustainability analysis assessing the impact of ZDM approaches on real-world production processes

Dr. Christian Eitzinger
Dipl.-Ing. Daniela Kirchberger
Guest Editors

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• zero-defect manufacturing
• quality control
• digital twin
• process modeling
• sensor data analysis
• machine learning