MRC - Manufacturers Resource Center


Six Sigma Training


The MRC DifferenceView Training Schedule

MRC’s Six Sigma courses:

  • Bridge the gap between instruction and implementation – While online courses seek only to educate, MRC goes beyond training to assist in actual project implementation.
  • Drive real change – Case studies don’t cut it here. You select a Six Sigma project that will create genuine organizational change. Successful completion means you are improving product quality, enhancing customer service, and saving your company money.
  • Rely on project mentoring – MRC Six Sigma instructors go above and beyond to ensure your success. The course price includes four private, onsite project mentoring meetings with our Master Black Belt to guarantee ROI on your first project.


Six Sigma Green Belt/Black Belt Brochure (2023)


Yellow Belt Certification

MRC’s Yellow Belt Certification course is a process-focus to manage the business through the Six Sigma problem-solving approach of Define, Measure, Analyze, Improve, and Control (DMAIC). Yellow Belts are process improvement team members who have been exposed to the DMAIC Process and Tools.

Classroom training and exercises overview:

    • Learn and apply DMAIC tools
    • Utilize classroom exercises to demonstrate the application of tools
    • Complete and pass exam on information and tools presented in YB training

YB Certification Requirements:

    • Class Attendance
    • Participation in Classroom and Group Exercises
    • Pass Yellow Belt exam

Yellow Belt Training Topic Areas:

    • Day 1: DEFINE:
      Project Charter, SIPOC, Voice of Customer, Multi-level Pareto (Minitab Introduction)
    • Days 1 & 2: MEASURE:
      Six Sigma Metrics (card drop exercise), Basic Stats (Graphical Summary, Histogram, Dotplots, Boxplots, Time Series), Basic Tools (Process Map, Fishbone Diagram, XY Matrix, FMEA)
      Common and Special Causes, Process Capability Analysis (catapult exercise),
      MSA (Gage and Attribute R&R)
    • Day 2: ANALYZE
      Hypothesis Testing, Basic Tools – 1-Sample t, 2-Sample t, Paired t, 1Proportion, 2 Proportions, Power and Sample size
    • Day 2: Intro to IMPROVE and CONTROL
      Time Series and Control Charts, Control and Reaction Plan

MRC’s Six Sigma Yellow Belts are introduced to the DMAIC process.  Participants create fishbone diagrams, control charts and graphs using Minitab’s statistical software, understand basic statistic measures and complete data demographics exercises.  Process capability principles are reviewed using class exercises and analyzed in Minitab.  A number of hypothesis testing methods are also included in the Yellow Belt training.  Finally, control and reaction plans are examined to complete the course.

Green Belt Certification

Program Overview and Objectives
The MRC Six Sigma Green Belt is designed for individuals with little or no experience with Six Sigma methodologies, but it is no less impactful.  This course is considered a “Dark Green” belt, emphasizing statistical tools to improve performance and make goals “stick.”  Objectives include:

  • Demonstrating the Design Measure Analyze Improve Control (DMAIC) methodology
  • Documenting progress and results
  • Selecting and applying tools
  • Collecting and analyzing data

Program Description
MRC’s Six Sigma Green Belt course consists of classroom and onsite mentoring sessions. Participants gain a comprehensive understanding of Six Sigma’s concepts, history, roles, implementation, and Green Belt statistical tools.  Core parts of Six Sigma Green Belt Training are:

  • Process flow charting
  • Failure Mode Effects and Criticality Analysis (FEMEA)
  • Distributions and Statistical Processes
  • Control charts
  • Inferential statistics
  • Process capability
  • Correlation and regression
  • Measurement systems analysis (Gauge R&R)
  • Analysis of variance (ANOVA)
  • Goodness of fit testing

MRC’s Six Sigma Green Belts are able to create charts, process maps, and control plans to describe Six Sigma roles within an organization.  They also learn to define Six Sigma projects and use Minitab® to run statistical tests for process improvement.  Green Belt projects typically deliver $25,000~$50,000 in process improvement-driven cost savings.

Black Belt Certification

Program Overview and Objectives
MRC’s Six Sigma Black Belt course consist of classroom and onsite mentoring sessions. The training initially runs simultaneously with our Green Belt class and focuses on Green Belt topics.  Next we build on that foundation and expand to Black Belt material. This improves synergy within organizations by enabling individuals from the same company to attend the training together even though their experience may differ.

In addition to the Green Belt topics, the training focuses on:

  • Advanced regression and Analysis of Variance (ANOVA)
  • Advanced capability
  • Designs of Experiment (DoE)
  • Non-parametric distribution(s)
  • Logistic regression

Program Description

  • Process flow charting
  • Inferential statistics
  • Distributions and Statistical Processes Control charts
  • Correlation and regression
  • Multiple regression
  • Process capability
  • Goodness of fit testing
  • Measurement systems analysis (Gauge R&R)
  • Factorial Design
  • Variability reduction using Designs of Experiment (DoE)
  • Failure Mode Effects and Criticality Analysis (FMEA)

MRC’s Six Sigma Black Belts are able to explain multiple regression, perform factorial experiments, determine size calculations needed for experiments, and describe the different types of process optimization. Black Belt projects typically deliver $50,000~$100,000 in process improvement-driven cost savings.

Who Should Attend These courses are for senior-level decision makers, general managers, supervisors, group leaders, quality managers—individuals from any discipline that wants to apply the Six Sigma methodology to eliminate waste, reduce inventory, improve processes, increase throughput, or improve bottom-line financial results.

Design for Six Sigma (DFSS)

The course consists of 2, 3-day sessions which take participants through a journey from capturing voice of the customer through concept development with techniques to predict product manufacturing capability and performance in the field.  The second session is more analytical as it couples experimental design and statistical analysis methods for robust design with approaches to design for manufacturability and control systems to ensure optimal product performance and support ongoing continuous improvement.  The course is interactive and hands-on; students will utilize Excel and Minitab statistical software to experience the core concepts. 

Course Agenda:

Week 1:

  • Introduction to DFSS
  • Project Identification
  • Project Chartering
  • VOC (Voice of the Customer) gathering
  • AHP (Analytical Hierarchy Processing)
  • QFD (Quality Function Deployment)
  • DFMEA (Design Failure Modes and Effects Analysis)
  • Rolled Throughput Yield
  • Product/Process Capability tracking
  • Design Scorecards
  • Taguchi Loss Function
  • Hierarchical Decomposition
  • Axiomatic Design
  • DFM & DFx
  • TRIZ
  • Pugh Selection methods

Week 2:

  • Classical DOE review
  • Taguchi design and analysis methods
  • TRIZ (Theory of Inventive Problem Solving)
  • Design Validation
  • Statistical Tolerancing
  • Critical Parameter Management
  • Capturing Lessons Learned

Target Audience:  DFSS training is ideal for engineers, designers, interested managers and technicians- all those who would lead or be members of a DFSS project team.

Student Requirements: Students should be Black Belt or rigorously Green Belt trained.  Engineering applications experience is helpful but not required.  All students will need laptop computers with Minitab version.