Lean Six Sigma Black Belt for Service Organizations

The majority of organizations in this country are focused on providing services. Health care, banking, utilities, insurance, finance, governmental agencies, military and education are all examples of industries focused on processing and/or delivering services. This Center for Quality Lean Six Sigma program is designed specifically for service-focused organizations and service-based functions within manufacturing organizations (e.g., finance, engineering, HR, accounting).

In becoming Lean Six Sigma Black Belts, attendees will learn how to lead Lean Six Sigma improvement teams. Participants will gain a strong knowledge of how to apply the Lean Six Sigma methodology to the improvement of service-based processes enabling cost reductions and improvements in productivity, quality and customer satisfaction. Participants receive 20 days of intensive, workshop-focused instruction.

Who should attend:
Individuals in service organizations or service functions who wish to utilize Lean Six Sigma Black Belt tools to drive cost reductions and improvements in quality, productivity and customer satisfaction.

Prerequisite:
A basic knowledge of Algebra

Requirement:
Personal laptop computer with Minitab software Selection and completion of a Black Belt project

Duration: 160 Hours – 20-day course (four sessions, non-concurrent weeks)

Course Content:

Introduction to Lean Six Sigma
This section introduces the Black Belt to the concepts of Lean Six Sigma. It creates an in-depth understanding of how Lean Six Sigma works and also provides an overview of the Lean Six Sigma program structure.

  • The Lean Six Sigma Organization
    • Gaining a competitive advantage
    • Improving quality and productivity
    • Reducing waste
    • Value added vs. non-value added
    • The definition of quality
    • Variation reduction concepts
    • Process vs. product thinking
    • The DMAIC process
  • How Lean integrates with and enhances Six Sigma
    • Key characteristics of Lean and Six Sigma
    • Understanding the impact of the Lean Six Sigma on productivity, quality, customer satisfaction & profitability
    • Value-added activities-on target, with minimum variation
    • Lean Six Sigma Systems – goals & objectives
    • The combined Lean Six Sigma model
  • Benefits of Lean Six Sigma Programs
  • How to effectively implement Lean Six Sigma in an Organization
    • Cultural issues
    • Strategic issues
    • Tools issues
  • Six Sigma Project Methodology Overview
    • Define
    • Measure
    • Analyze
    • Improve
    • Control

Define
This section details the initial phase of the Lean Six Sigma methodology.

  • Project Selection
    • How to select appropriate projects
    • How to avoid inappropriate projects
  • Project Scoping
    • Avoiding scope creep
    • Aligning resources
  • Defining Customer Requirements
  • Developing a comprehensive Project Charter
    • Problem statement, goal statement, objectives, business case and milestones
    • Base lining the proces
  • Process Mapping
    • SIPOC
    • “Swim lanes”
  • Value-Stream-Mapping (VSM)
    • Why Value-Stream-Mapping?
    • Best application areas
    • Key principles
  • Project Planning

Measure
This topic provides coverage of measurement assessment and Lean Six Sigma data collection. Key concepts include understanding measurement systems as processes. Core tools center on the assessment of measurement system accuracy, precision and linearity.

  • How to collect data
    • Propriety of data collection
    • Collecting data over time
    • “Converting” attribute date to measurements

  • Identifying Measurements
    • Input/Output matrices
    • Data collection planning tools and check sheets

  • Measurement discrimination
    • Attribute vs. measurements data
    • How much discrimination is needed

  • Measurement System Assessment
    • Attribute Data
      • Short method
      • 2x2 matrices
      • Logistic regression
    • Variables data overview
      • Gage R&R
      • Bias studies

Analyze
This statistically intensive section of the Black Belt training provides the participant with a comprehensive array of tools used to drive to root causes and optimize processes. Participants receive a firm grounding in basic core Lean and Six Sigma tools as well as an overview of advanced tools such as designed experiments and applied statistics.

  • Core Quality Tools
    • Pareto charts
    • Trend charts
    • Run charts
    • Histograms
    • Box Plots
    • Brainstorming and affinity diagrams
    • Prioritization tools
    • Force field analysis
    • Cause and effect diagrams
    • Check sheets
    • Is/is not analysis
    • Scatter plot
    • 5 whys
  • Lean Analyses
    • Value Stream Analysis and future state value stream maps
    • Calculating process times vs. total throughput times
    • TAKT time calculation
    • Identifying non-value-added elements
  • Introduction to Statistics
    • Types of data
    • Measures of location, spread and shape
    • Testing for normality

  • Statistical Process Control
    • Control chart concepts (process vs. product revisited)
    • Key variation concepts
    • Attribute data charts
      • Shortcomings of attribute data
      • p chart
      • np chart
      • c chart
      • u chart
    • Variables data control charting
      • Advantages of variables data
      • X and Rm charts
    • Rational sampling
      • Sample size considerations
      • Sampling frequency
    • Process capability
      • Capability with attribute data
      • Use of Z values
      • Capability indices
  • Applied Statistics
    • Non-parametric tests
      • Describing a single process
        • Sign test
      • Comparing two processes
        • Mann-Whitney
        • Mood’s median test
        • Kolmogorov-Smirnov
      • Comparing more than two processes
        • Kruskal-Wallis
        • Mood’s median test
    • Understanding a Single Process
      • Estimating the Center and Spread
      • Confidence Intervals for the Mean, Variance and Proportion
      • Testing a Hypothesized Mean, Variance and Proportion
      • Errors of Type I and II
      • Sample Size Considerations
      • Paired data analysis
    • Assessing Differences Between Two Parallel Processes
      • Graphical Techniques
      • Differences in Means
        • Student's t Test
      • Differences in Variation
        • F Test
      • Differences in Proportion
    • Assessing Differences Among More Than Two Parallel Processes
      • Differences Between Means
      • Analysis of Variance
      • Differences in Variation
      • Differences in Proportion
    • Relating Two Variables (Using an Input Variable to Predict an Output Variable)
      • Correlation
      • Fitting a Line
      • Residual Analysis
      • Predicting the Output at a Given Level of the Input
      • Confidence and Prediction Intervals
    • Relating More Than Two Variables (Using More Than One Input Variable to Predict an Output Variable)
      • Building the Regression Model
      • Residual Analysis
      • Confidence and Prediction Intervals for Regression Models

  • Design of Experiments
    • DOE fundamentals
    • Planning an experiment

Improve
This phase of the Lean Six Sigma process is focused on selecting and implementing process improvements to achieve or exceed project goals. Key focus is on Lean tools and methods that can drive process improvements.

  • The philosophy of Lean revisited
  • Types of waste revisited
  • Principles of Lean implementation
  • Attributes of a Lean process
    • Value streams
    • Push vs. pull
    • One piece flow
  • Using the value stream map to identify waste
  • 5S Organizational housekeeping
    • The 5S’s defined
    • The value of 5S
    • Sorting
    • Set
    • Shine
    • Standardize
    • Sustain
      • 5S audits
    • 5S photos
  • Flowing Work
    • Benefits of good workplace layout
    • Fixed position vs. cell/continuous layouts
    • Cell/continuous flow layout strategies
    • Balancing the process
    • Takt time
    • Pitch
  • Standardized Work
    • Working smart vs. working hard
    • Establishing best practices
    • How to document standardized work
    • Elements of standardized work
    • Training to standard work
  • Pull Systems and Kanbans
    • Kanban defined
    • Kanbans in the office
    • Benefits of kanbans
    • Computing number of kanbans vs. demand, lead time, safety stock and batch size
    • Batch size minimization
  • Visual Management
    • Organization, department and job level visual management
    • Types of visual management
  • Mistake Proofing
    • Types of mistake proofing
    • Application of mistake proofing for service, safety and environmental improvement
    • Mistake proofing examples and case studies
  • The Concept of Kaizen
    • What is Kaizen?
    • Using the value stream map
    • Getting outside the bo
    • The Kaizen blitz
    • Steps for a Kaizen blitz
    • Kaizen as a continuous improvement strategy
  • Selecting Improvements
    • Utilization of data
    • Brainstorming
    • Prioritization tools
  • Verifying Effectiveness
    • Applied statistical tests
    • Control charts
    • Moving averages charts
    • Pareto charts

Control
Participants receive multiple methodologies to ensure that the project gains remain effective and in place to maximize benefit to the organization.

  • Change Management - Making it Happen
  • Force Field Analysis
    • Supporting forces
    • Inhibiting forces
  • Visual Management

  • Document Control
    • Quality system documents
    • FMEAs
    • Other documents

  • Control Plans
  • Control charts
  • Project documentation
    • Project notebook
    • Lessons learned
  • Project Closure
    • Handing off the improved process
    • Project closure checklist
    • Training process owners
    • Long-term follow up
    • Quality system documents
    • FMEAs
    • Other documents
  • Control charts
  • Program/project management methodology & tools

 

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