Design of Experiments (DOE) for Process Development and Validation (California, United States - August 2-3, 2018)

  • ID: 4536395
  • Conference
  • Location: California, United States
  • 2 Days
  • NetZealous LLC
  • Conference Dates: August 2-3, 2018
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Prior to developing a process control plan as part of an overall risk management strategy, process development studies must be completed. The objective of these process development studies is to gain knowledge and understanding about how variation in process parameters explains variation in the product quality characteristics of the product.

The use of DOE methodology provides a means to identify process parameters which impact product quality (critical process parameters) and determine the functional relationship that links the process parameters to those critical quality attributes. Screening designs, such as 2k factorial and D-optimal designs, are used to determine critical process parameters. Response surface designs, such as Central Composite Designs (CCDs) and I-optimal designs, are used to model the functional relationship between those critical process parameters and the critical quality attributes.

This course will begin by presenting a primer on statistical analysis, focusing on the methods required for analysis of designed experiments. It will then present the steps to DOE, while demonstrating valuable risk management tools (Ishikawa and FMEA) which can be use pre and post DOE studies. Next, participants will learn to generate and analyze multiple screening and response surface designs; the participants will leave with an understanding of why and how each are used. Then, the participants will learn how results of the studies can be presented. Lastly, using the results of the studies, the risk management tools will then be updated.

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Day 1 Schedule

Lecture 1: Primer on Statistical Analysis

  • Basic statistics
  • Two-sample t-test
  • Regression

Lecture 2: Introduction to Design of Experiments (DOE)

  • Steps to DOE
  • Defining critical quality attributes (CQAs)/responses
  • Identifying and prioritizing potential process parameters

Lecture 3: Screening Designs

  • Full factorial designs
  • 2k factorial designs

Day 2 Schedule

Lecture 1: Screening Designs (continued)

  • Fractional factorial designs
  • D-optimal designs

Lecture 2: Response Surface Designs

  • 2k factorial designs with center points
  • Central Composite Designs (CCDs)
  • Box-Behnken designs
  • I-optimal designs

Lecture 3: Utilizing Systematic Understanding from DOE Studies

  • Presenting results
  • Control plan/risk management strategy
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  • Jim Wisnowski Jim Wisnowski,
    Co-founder ,
    Adsurgo LLC

    Jim Wisnowski is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. He has over 25 years of experience and currently provides training and consulting services to industry and government in Design of Experiments (DOE), Reliability Engineering, Data Visualization, Predictive Analytics, and Text Mining. Dr. Wisnowski has been an invited speaker on applicability of statistics for national and international conferences. Prior to his current position, he was a senior program manager for URS, Chief of the Statistics Division in the Mathematics Department at the Air Force Academy, and a retired military officer. He is currently a member of the editorial board of Quality Engineering and has published numerous international refereed journal articles on statistics. Jim has a PhD in Industrial Engineering from Arizona State University.

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  • Process Scientist/Engineer
  • Design Engineer
  • Product Development Engineer
  • Regulatory/Compliance Professional
  • Design Controls Engineer
  • Six Sigma Green Belt
  • Six Sigma Black Belt
  • Continuous Improvement Manager
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DoubleTree San Diego Downtown
1646 Front Street
San Diego
United States


General Driving Directions

From San Diego International Airport / Lindbergh Field, CA: 2.6 miles

Depart from San Diego International Airport / Lindbergh Field, CA (0.1 mi.)
Keep left toward N Harbor Dr (0.4 mi.)
Turn left onto N Harbor Dr (1.4 mi.)
Turn left onto W Grape St (0.3 mi.)
Turn right onto Columbia St (0.2 mi.)
Turn left onto W Date St (0.1 mi.)
Turn right onto Union St (0.0 mi.)
Arrive at Union St on the left (0.0 mi.)

Disclaimer: Directions to the venue above have been taken from the hotel website. Attendees are advised to check with the hotel for confirmation of these directions before starting for the venue.

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