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Six Sigma Black Belt – Manufacturing

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The Six Sigma Black Belt – Manufacturing Certification dives deeper into identifying inefficiencies, reducing variation and eliminating outdated or imprecise methods across business processes. In this program, you’ll gain a deep understanding of the Six Sigma philosophy, build additional knowledge in statistical and analytical tools and develop strategies to drive both short- and long-term performance improvements. With the skills to lead diverse teams and manage complex projects, this certificationpositions you to deliver measurable results and generate significant cost savings for your organization.

Please Note: This is an accelerated Six Sigma program. The instructional modules are designed to immerse participants in the core principles, tools and methodologies of Six Sigma through guided lessons and activities. While students may reflect on their own projects during the course, project work itself is not completed during the instructional portion. Instead, project execution begins after the course, once participants have built the necessary foundation. 

This course can be applied to the following certificate:
Six Sigma Black Belt Certification – Manufacturing

Benefits and Learning Outcomes

  • Define the DMAIC (Define, Measure, Analyze, Improve and Control) methodology 
  • Apply strategies and statistical techniques to eliminate mistakes, reduce processing times and decrease operating costs 
  • Formulate short- and long-term strategies to effectively manage diverse teams 
  • Evaluate advanced control charting methods, hypothesis testing and correlation analysis 
  • Identify and revise ineffective and inefficient work processes 
  • Outline the Six Sigma skills needed to lead your own projects 

Course Outline/Topics

Define and Measure

  • Overview of Process Improvement Strategies
  • Why Six Sigma?
  • The DMAIC Strategy
  • Roles of Champions, Master Black Belts and Black Belts
  • Choosing a Problem – Pareto Analysis and Pie Charts
  • Process Mapping – Flowcharts
  • Data-Collection and Sampling Techniques
  • Basic Statistics – Location versus Variation
  • Control Charts – Variable and Attribute
  • Control Charts for Short Production Runs (optional)
  • Subgroup Statistics versus Process Parameters
  • Rationale for the 1.5s Shift

Measure and Analyze

  • Gage Capability Studies (MSA)
  • Estimating Process Parameters
  • Short- versus Long-Term Variation
  • Process and Machine Capability Studies
  • Capability Metrics –CP,CPL,CPU,CPK,PPKandppm
  • Effect of the 1.5sShift on Capability
  • Dealing with Non-Normal Distributions

Analyze and Improve

  • Check Sheets and Matrix Diagrams
  • Multi-vari Analysis for Families of Variation
  • Component Swapping for Large Assemblies
  • Randomizing and Other Sampling Strategies
  • Brainstorming and Cause-and-Effect Diagrams
  • Multi-Voting and Decision Making by Consensus
  • Regression Analysis, Correlation and Scatter Diagrams
  • Curvilinear Relationships
  • Comparison Testing Between “Good” and “Bad” Parts
  • Analysis of Means (ANOM)

Improve and Control

  • Hypothesis Testing for Averages
  • Hypothesis Testing for Standard Deviations
  • Hypothesis Testing for Percentage Nonconforming
  • Power Curves
  • Confidence Intervals
  • Determining Proper Sample Sizes
  • Introduction to Analysis of Variance (ANOVA)
  • Developing Feasible and Economical Solutions
  • Solution FMEA
  • Pilot Studies

Who Should Attend

This unique program has been designed for those wanting to improve the performance of operations in service organizations as well as in manufacturing companies. This includes personnel from these departments: manufacturing, quality, maintenance, engineering and purchasing.

Prerequisites

It will be assumed that program candidates have had no prior statistical training and little, or no, experience in process improvement. All statistical concepts and improvement techniques introduced during this program will be fully explained, with numerous application examples and case studies provided. However, it is recommended that you have access to a manufacturing or office environment so you can complete the capstone project where candidates demonstrate their ability to successfully improve the performance of a real-life operation.