ON-DEMAND WEBINAR
The Relevance of Measurement Systems Analysis: A Case Study on MSA Methodology and Applications
In this two-part webinar series, we are joined by Christian Neu from Procter & Gamble, who will present how P&G was able to use MSA in their process development to enhance process performance, thereby reducing cost and time to market.
In Part 1, we introduce the concept of MSA and provide insights into the steps involved, including designing the study, gathering and analyzing data, and interpreting results.
In Part 2, we analyze the design and execution of a gauge validation study. The study design involves using power and sample size to determine how many times two known reference samples need to be measured in order to show the expected difference. Additional discussion on how to deploy the validated gauge follows.
Key learning points
Part 1:
- P&G case study using MSA.
- Introduction to MSA.
- Designing an MSA study.
- Gathering and analyzing MSA data.
Part 2 :
- P&G case study using MSA validation.
- Leveraging the power of samples size calculators to design a validation study.
- Analyzing results.
- Gauge deployment for a process monitor case.
If you are an R&D scientist, quality manager, process engineer, or data analyst, this webinar is for you. You will leave with a clear understanding of the significance of MSA in ensuring the accuracy and reliability of measurement systems, as well as how to apply this technique to your own work.
Speakers
Christian Neu is a scientist at Procter & Gamble Service GmbH, working in the BabyFem Analytical Department. He has worked at P&G for 11 years and has a master's in chemical engineering (biotechnology).
Gerald Fish is a Systems Engineer at JMP Statistical Discovery. Fish has been a JMP user for many years, even before he joined the JMP team. He has been active in the JMP community, even co-founding a users group in central Kentucky.
In his current role, Fish enjoys helping customers find hidden insights in data that result in quantifiable improvement. Before joining JMP, he held positions that concentrated on fundamental problem solving, simulations, statistics, data acquisition and analysis, and quality and process improvements over a 35-year career. Fish earned an MSME from the University of Illinois at Urbana-Champaign; he holds eight patents.
Jason Wiggins is a Senior Systems Engineer at JMP, supporting semiconductor customers in the U.S. Western Region. Prior to joining JMP, Wiggins spent nearly 20 years at US Synthetic, where he worked as Engineering Manager and advocated for the use of analytics in lean product and process development as member of the US Synthetic Steering Committee. An expert in process optimization and Six Sigma, he has extensive industry experience using JMP for design of experiments, measurement systems analysis, data visualization, data mining, predictive modeling, and statistical process control. He trained in mechanical engineering at the University of Utah and began his career as an R&D engineer and later a process engineer for oilfield service company Baker Hughes.