Design of Experiment II – Response Surface Methodology (RSM) (DOE102)

About this Training

Response Surface Methods (RSM) can lead you to the peak of process performance. This course teaches you how to produce optimize parameter based on statistical models to meet customer requirements. This is another type of design experiment performed after screening and characterization. Response surface designs are useful for modeling a curved quadratic surface to continuous factors.

Bernie Redona NASAT Labs
About the Speaker
Bernardo M. Redoña, PhD
Dr. Bernie Redoña is a certified Six Sigma Black Belt with extensive experience in the semiconductor industry, specializing in Process Engineering, Product Qualification, Statistical Process Control (SPC) Implementation, Quality and Reliability. He earned his doctoral degree in Management major in Human Resource Management from University of San Jose Recoletos – Cebu, and holds both a Master of Engineering and a Bachelor’s degree in Electronics & Communication Engineering (ECE) from Mapua Institute of Technology. He is a Subject Matter Expert in Quality Tools and Statistical Techniques, including FMEA, 8D, DOE, Statistics, 7 QC Tools, SPC, and MSA. His involvement extends to serving as a Lead Assessor of PQA (Philippine Quality Award), and as part-time professor at Letran Calamba Graduate School.

Training Schedule

  • Statistical and Quality Tools – Training Series: September 26-27 – Statistical Process Control; October 16-18 – Design of Experiment; October 22-23 – 7 Basic Quality Tools; December 4-5 – Measurement System Analysis
  • Customer-site trainings and private webinar trainings are available.
    (Contact us for more information.)
  • Customer-site trainings and private webinar trainings are available.
    (Contact us for more information.)