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Becoming a Lean Six Sigma Black Belt means you have mastered the Six Sigma methodology— a disciplined, data-driven approach for eliminating defects in any process.

In our Black Belt training, you will learn how to collect data, understand data collection and analysis, root cause analysis and wastes in a cross-functional process, and then use advanced tools of Lean Six Sigma to drive wastes out of the process and to reduce process variation. More importantly, this training also enables the individual to become data/metric oriented, root cause analysis driven, team oriented and thus become more effective in working on, leading and supporting Lean Six Sigma project objectives linked to the profit and strategic objectives.

Attendees will revisit how to apply lean tools to reduce and eliminate waste and the DMAIC methodology to reduce process variations and defects to achieve quantifiable bottom-line business improvement. They will also learn more advanced DMAIC tools and be introduced to key DMADV tools and concepts. Typically, Black Belt projects spin off 100k$ in cost savings in process improvement. Those choosing to receive Black Belt certification will also receive project coaching specific to a process improvement project that you bring to the course; one-on-one project review and coaching by the Master Black Belt.

Black Belt (with an existing Green Belt certification): 9 days total held in three-day increments over three months. Certification candidates have six months from the completion of the classroom training to submit their project for final review.

Black Belt (without an existing Black Belt certification): 16 days total held in four-day increments over four months. Certification candidates have six months from the completion of the classroom training to submit their project for final review.

Please Note: Students who seek Lean Six Sigma Black Belt certification must attend all classroom sessions, implement an improvement project to the satisfaction of the project champion and the Master Black Belt trainer, and satisfactorily complete a written exam which will be given at the conclusion of the second week of training; and write a project report within 6 months of the conclusion of training. Certification includes Master Black Belt instructor project coaching support and feedback as well as written exam fees.

Target Audience

Anyone involved in continuous improvement activities, including manufacturing engineers, process engineers, manufacturing managers, and continuous improvement managers. Traditionally Lean Six Sigma tools have been used in manufacturing, however, these tools are used to improve any transactional, service, or healthcare process.


Must have Green Belt certification from a reputable organization. Attendees are required to bring a laptop with Minitab (v.16 or higher) loaded. If you do not have Minitab, a one-year license (with the companion Quality Trainer) is available for purchase at a significant discount. Participants must be comfortable working with a laptop and manipulating data.


Classroom, onsite.

Learning Objectives

  • Reduce defects
  • Reduce costs
  • Decrease cycle time
  • Increase capacity and productivity
  • Improve quality
  • Increase profits

Three (3) Days: Introduction to Lean Six Sigma, Define, and Measure.

Three (3) Days: Project Review and Presentations, Analyze.

Four (4) Days: Project Review and Presentations, Improve, Control, Course Review and Exam.


Starting at $9,000


Six Sigma Intro and Fundamentals; Selecting Projects; Scoping Projects (High-Level Process Maps SIPOC); Projects Mandates (Building your Business Case); Building Your Project Team.


Quality Functional Diagrams (QFDs), Process Mapping; Progressive Search; FMEAs; Data Collection (Sampling Strategies and Sample Size); Static Statistics; Dynamic Statistics; Process Capability (Cp, Cpk, Pp, Ppk); Measurement System Analysis (Gage R&R), Change Management Parts 1-3.


Z-Bench, Types of Yield, Graphical Tools; Inferential Statistics; Types of Distributions and Classifications, Hypothesis Testing Normal and Non-Normal Data, Data Transformations, Component Search and Pair Comparisons, System Reliability, Correlation and Regression, Linear Tolerancing, Change Management Parts 4 and 5.


Lean Tools; Design of Experiments Planning; Full and Fractional Factorials; Modeling Analysis; Blocking Designs; Predictive Capability; Kano Models; Pugh Matrix.


Pilot Plans; Poka-Yoke; Risk Management; Statistical Process Control (SPC); Reliability Testing; Six Sigma Control Plans; Leveraging, Change Management Parts 6 and 7.

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