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Lean Six Sigma Green Belt (LSSGB)
course information

Six Sigma is a customer-focused, data-driven methodology that is widely used to analyze and improve the performance of processes, products, and services. In this course, get the training you need to become a Six Sigma Black Belt. Green Belts participate in—or lead—Six Sigma projects on a part-time basis under the guidance of a Black Belt.

Learned skills are practiced and applied through individual and team exercises, as well as to the individual projects. Participants will be able to apply the concepts learned in the class to a business improvement project assigned to them by their management sponsor.

Green Belts provide value within the organization’s Lean Six Sigma framework in a variety of ways. They serve on Black Belt project teams to help collect and analyze data, develop process maps, assist the Black Belt in certain levels of statistical analysis, and develop experimental designs for a particular project. These activities serve to support and accelerate progress in every project—which helps to maximize the organization’s return on its investment and adds capacity to deliver even greater numbers of breakthrough improvement projects throughout the company.

Attendees will learn how to direct Lean Six Sigma projects and obtain the maximum improvements from the learned techniques and skills. Learned skills are practices and applied through individual and team exercises. These techniques are also applied to the individual projects. Participants will be able to apply the concepts learned in the class to a business improvement project assigned to them by their management sponsor. This course will use Minitab statistical software. 

Candidates will receive Green Belt Certificate from an international accrediting body upon successfully qualifying Green Belt Exams & other requirements as applicable.

course objectives
  • Function as a member of a six-sigma project team
  • Lead and execute process-level improvement projects
  • Collect process data and develop process maps
  • Develop statistical hypotheses using simple statistical tools
  • Design simple experiments and/or implementation plans that help validate improvement options
  • Apply problem solving and quantifiable tools to an improvement project brought to class on the first day.
  • Eliminate waste and defects by applying lean and six sigma
  • Collect, analyze, and quantify data that enable process improvements
  • Learn how to execute the six-sigma methodology.
  • Work with process owners to ensure process gains are held
course oUTLINE

Module 1: Introduction to Six Sigma

  • History of Quality (Deming, Juran, JIT, Ishikawa, Taguchi, etc.)
  • Evolution of Six Sigma
  • Defining Six Sigma – philosophy and objectives
  • Overview of Six Sigma DMAIC process

Module 2: Stakeholders & Setting up a Six Sigma Project

  • Identifying and Documenting stakeholder requirements
    • Identifying stakeholders and customers
    • Data collection and analysis
    • Determining critical requirements
  • Project Selection Criteria
    • Identifying performance metrics
    • Using Financial criteria to evaluate project benefits
    • Maximizing project benefits for the organization
  • Project Planning
    • Creating Project Charter
    • Charter Negotiation
  • Managing Team Dynamics
    • Initiating teams
    • Stages of team evolution
    • Maslow’s hierarchy of needs
    • Motivation Techniques
    • Conflict Resolution Techniques
    • Management / Leadership styles
    • Roles played by people in a project
  • Important project management & planning tools

Module 3: Six Sigma Methodology – Define

  • Inputs – Need for six sigma project, Executive management sponsorship, core team identified
  • Tools
    • Organization hierarchy
    • High level process maps
    • High level Pareto charts
    • Idea generation and categorization tools
  • Outputs
    • Project charter
    • Established metrics
    • Problem statement
    • Roles & responsibilities

Module 4: Six Sigma Methodology – Measure

  • Objectives of Measure Phase
  • Inputs – the outputs of the Define phase
  • Tools
    • Data collection tools and techniques
    • Measurement scales
    • Validation techniques (Gauge R & R)
    • Statistical distributions
    • Data mining
    • Run charts
    • Process map
    • Stakeholder tools
    • Process costs
  • Outputs
    • Well defined processes
    • Baseline process capability
    • Process parameters affecting CTQs
    • Cost of poor quality (COPQ)
    • Measurement system

Module 5: Six Sigma Methodology – Analyze

  • Objectives of Analyze Phase
  • Inputs – outputs of the Measure phase
  • Tools
    • Ishikawa diagram
    • Failure mode and effects analysis
    • Hypothesis testing
    • Process capability study
  • Outputs
    • Important causes of defects
    • Special and common causes of variation
    • DPMO and sigma level

Module 6: Six Sigma Methodology – Improve

  • Objectives of Improve Phase
  • Inputs – outputs of the Analyze phase
  • Tools
    • Returns on investment
    • Solution design matrix
    • Design of experiment
    • Taguchi robustness concepts
    • Response surface methodology
    • Project planning and management tools
    • Prototypes
  • Outputs
    • Cost / benefit for different solution
    • Selection of solutions for implementation
    • Implementation plan

Module 7: Six Sigma Methodology – Control

  • Objectives of Control Phase
  • Inputs – outputs of the Improve phase
  • Tools
    • Control plan
    • Statistical process control
    • Lean enterprise
    • 5S
    • Kaizen
    • Kanban
    • Total productive maintenance
    • Measurement system reanalysis
  • Outputs
    • Implemented solutions
    • Revised measurement system
    • Control plan for sustaining benefits
    • Improves process capability
    • Lessons learned

Module 8: Lean

  • A Value Stream Map
  • Lean is Speed
  • Total Supply Chain
  • Lean Six Sigma Logistics

Case Study

  • Case Study Part 1
  • Case Study Part 2
  • Case Study Part 3
course pre-requisites

This course is designed for individuals from diverse organizational functions-operations, quality, logistics, finance, production, engineering and other staff functions.

  • Basic statistics is recommended. Basic college-level algebra will be helpful to understand statistical concepts is a minimum.
  • Devote at least 25% of your time at your personal time to work on assignments
CERTIFICATION
  • DISS CERTIFICATE
  • 6SIGMA STUDY VMEDU CERTIFICATE
course price

USD 315.00

SELF-BASED LEARNING

COURSE ACCESS DURATION: 180 DAYS

PRICE: USD 315.00

TESTIMONIAL

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