Lean Six Sigma (LSS) is a proven method for solving problems and making key business processes more efficient and productive. The Lean Six Sigma Black Belt Certification course develops advanced skills for leading complex projects and for supporting LSS deployment within an organization.

The course is based on using methods for aligning LSS initiatives to business strategy and focuses on planning and managing DMAIC projects and Kaizen events. Participants will learn how to effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success. A LSS Black Belt possesses a thorough understanding of all aspects of LSS methods and will be able to provide leadership for complex, high-visibility projects across multiple organizational functions. Please come to class prepared with a process improvement project that you would like to work on.

Learning Objectives

You will gain a working knowledge of:

• Data collection strategies (sample sizes)
• Process mapping
• Measurement system analysis (MSA)
• Graphical analysis
• Process capability analysis
• Statistical analyses including hypothesis testing, t-test, regression, ANOVA
• Using statistical software (Minitab) to manage and analyze data
• Failure mode and effects analysis (FMEA)
• Error proofing
• Solution creation and selection
• Design of experiments
• Statistical process control (SPC)
• Replenishment pull systems
• 5S
• Developing control plans and SOPs that support sustainable continuous improvement
• Apply your learning on a process improvement project
• This class includes a final exam 

Who Should Attend?

This workshop is designed for professionals interested in achieving an advanced level of proficiency in lean six sigma methods. A Lean Six Sigma Green Belt designation is pre-requisite for this class. 

Additional Information

The registration fee includes all materials and parking costs. Forty nine hours (4.9 CEU’s). 

Instructors

Sue Knapp

Joe Allen

Wolfgang Bauchinger

Bhagya Chandrashekar

Sam Tarbox