Quality Assurance
Process Integrity
Production Logistics
Cornerstone
Cornerstone-R
CEDA
RACE MCS™
RES-Q™
RACE-Track™
RACE-PLC™
Greater Efficiency (OEE)
Equipment Integration
Monitoring & Reporting
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Training Program
Training and consulting for operational excellence
Data Analysis with
Cornerstone
This course focuses on using Cornerstone software for statistical data analysis. It emphasizes Design of Experiments (DoE) and other important statistical procedures. Through practical examples, you will learn how to handle diverse data sources and improve the speed of analysis by linking various methods and graphical techniques.
Design of Experiments
(DoE)
In this course, you will learn how to use statistical Design of Experiments (DoE) to create process models efficiently. By reducing the number of experiments required, DoE helps you develop new products and optimize existing processes. You will build confidence in applying these methods through practical examples and hands-on learning.
Statistical Process Control
(SPC)
Statistical Process Control (SPC) helps monitor and regulate production processes. This course teaches you how to use statistical methods to detect deviations and improve process stability. You will also learn how SPC supports quality management strategies by identifying when and how to intervene in production processes.
Statistical Tolerance
Calculation
This course introduces statistical tolerance calculation, which allows for a more realistic estimation of production variability. By understanding input variables and their distributions, you will learn to design more robust processes. The course also integrates simulations and other methods like DoE for improved process design and fulfillment of customer specifications.
Measurement System Analysis
(MSA)
Learn how to evaluate and improve your measurement systems in this course. By ensuring reliable and accurate measurement processes, you can enhance production quality and reduce operational costs. The course provides practical techniques to assess measurement suitability, long-term stability, and reproducibility–all crucial for both production and R&D.
Microfabrication Process Engineering with XperiDesk
This course teaches a structured approach to microfabrication process development using XperiDesk. You will learn how to apply best practices and methodologies to streamline process tasks. Techniques such as Design of Experiments (DoE) are integrated throughout the course to help you solve common manufacturing challenges efficiently.
Dr. Theo Wember
DoE expert, Cornerstone board memberA freelance statistician since 1988, Theo Wember specializes in DoE and technical statistics, with recent work in machine learning. He conducts training courses and consults on technical statistics, also serving on the camLine Cornerstone board. Read full bio
Claudia Wahl
DoE and SPC consultant With over 30 years in the semiconductor industry, Claudia Wahl specializes in SPC, DoE, and Six Sigma. Her experience spans development, production, and logistics in international teams. Since 2017, Claudia has been a freelance consultant and trainer specializing in Design of Experiments (DoE) and Statistical Process Control (SPC) to optimize processes, implement data-driven strategies, and provide Lineworks SPACE training and consulting.Read full bio
Dr.-Ing. Dirk Ortloff
ConsultantDirk Ortloff, a computer scientist with a doctorate in micromechanics, has focused on innovation management in high-tech industries. He founded Process Relations, later acquired by camLine, and now leads his own consulting and training company. Read full bio
Dr. Marten Walther
Six Sigma consultantMarten Walther has over 20 years of experience in the glass industry, focusing on data analysis for process development. He has also served as a Six Sigma trainer at SCHOTT Academy. Marten now works as a consultant and trainer, helping various industries improve processes and outcomes. Read full bio
