Design of Experiments (DOE16)

This course educates participants in the Lean Six Sigma method of Design of Experiments (DOE), which identifies factors most important to the success of an improvement project. This analytical approach is explained through the scientific method utilized, impactful experiment designs and the interpretation of controlled tests. MinitabTM software is used to develop and analyze experiments. 

Topics include:

  • Introduction to DOE 
  • Full Factorial DOE 
  • Fractional Factorial DOE 
  • Blocking and Center Points

Hours: 16

Learning Outcomes

  • Plan and deliver an organized experiment
  • Make intelligent managerial, strategic and technical decisions based on factual data
  • Identify the factors that impact quality in the quest to optimize the performance and consistency of a process

Intended Audience

Research scientists, continuous improvement managers, engineers, Lean facilitators, production department manager

Prerequisites

Knowledge of Minitab is not required but recommended

Credential Opportunities

  • Continuing Education Units (CEUs): TCIE grants 1.4 CEUs upon full attendance and participation of this course. 
  • Professional Development Hours (PDHs): TCIE grants 14.5 PDHs upon full attendance and participation of this course for a fee of $25.   
  • Digital badge: Anyone who completes the course and submits a satisfactory written response to TCIE-generated questions earns a digital badge.

Course Schedule

8 a.m. to 5 p.m.

March 4 and 5, 2020

UB Baird Research Park

Instructor Bio: Peter Baumgartner, CSSMBB

As UB TCIE’s Operational Excellence Director, Peter is a resident expert in the Lean Six Sigma methodology and tools who has delivered substantial, validated hard and soft savings across a variety of projects in finance, medical devices, insurance, food services, building materials, publishing, and other service-related industries, as well as manufacturing. He has nearly 10 years of experience with a global company in serving as the lead on a multitude of process improvement project teams that have delivered record performance in yields, cost reduction, quality and safety. With an M.S. in statistics, Peter has an advanced understanding and application of statistics, and develops the potential in others through helping them understand Six Sigma and Lean methodologies.

 

COURSE CLOSED!

Another session may be scheduled if there is enough demand. Contact Gary Simon at ggsimon@buffalo.edu if interested.