Yellow Belt

Program Description

The role of a Yellow Belt is highly focused on delivering localized improvements within the boundaries of that process workers normal job-related duties. One of the ways they can be deployed is to execute limited line-of-sight application projects, keeping in mind that such Six Sigma projects must be operationally scaled in scope and depth to fit within their work area and body-of-knowledge. Another way to leverage their skills is in a supporting role. This particular deployment tactic allows Green Belts and Black Belts to confidently delegate certain time consuming and labor intensive activities to these Yellow Belts. In turn, this enables the Green Belts and Black Belts to greatly extend their operational reach by concurrently planning and executing multiple highimpact projects.

Participants will learn the foundational principles and core values that underpin the installation of Six Sigma, as well as the driving knowledge for identifying, selecting, initializing, executing, reporting, and validating a Six Sigma project. Candidates are trained to use the powerful Six Sigma process for realizing breakthrough – Define, Measure, Analyze, Improve, and Control, or simply DMAIC. Through this systematic and scientific method of problem solving, participants will discover how to best apply the supporting tools of Six Sigma, paving the way for short-cycle, high-yield improvements.

After acquiring these related principles, practices, tools, and methods, it makes it much easier for a Yellow Belt to question and examine how the work gets done and discover better paradigms for getting the work done. Yellow Belt graduates will have a solid statistical foundation and are able to assist with the execution of cost savings projects and experiments by gathering data, assisting in problem solving exercises and preliminary data analysis. They also ensure on-going improvements within their immediate line-of-sight, and can be responsible for highly focused line-of-sight Six Sigma projects. Total instructional time for this program is approximately 40 hours.

      Downloadable Program Syllabus

Training Orientation

Excel Orientation - Explore the Excel software package

Minitab Orientation - Explore the Minitab software package

Simulator Orientation - Explore the Process Simulator

Breakthrough Vision

Content Overview - Understand the nature, purpose, and drivers of Six Sigma

Instruction Videos
1. Basic Nature and Aims of Six Sigma -  3m 10s - 9.46 MB
2. Organizational Perspectives of Six Sigma -  6m 35s - 19.66 MB
3. Underlying Mechanics of Six Sigma -  3m 17s - 9.80 MB
4. Focused Use and Application of Six Sigma -  5m 48s - 17.30 MB
5. Deployment Roles Commonly Associated With Six Sigma -  3m 23s - 10.15 MB
6. Six Sigma Roles and Business-Focused Projects -  4m 07s - 12.32 MB
7. Analytical Tools Related to the Practice of Six Sigma -  3m 55s - 11.70 MB
Expansion Videos
8. Nature and Purpose of Big Ideas -  0m 52s - 0.52 MB
9. Concept and Implications of Process Control -  7m 26s - 7.58 MB
10. Concept and Implications of Process Capability -  6m 25s - 6.96 MB
11. Concept and Implications of Process Centering -  7m 32s - 6.70 MB
Application Videos
12. Key Ideas and Concepts Underpinning Six Sigma -  5m 50s - 3.07 MB
13. Connections between Quality Concepts and Six Sigma -  6m 06s - 4.02 MB
14. Connections between Six Sigma and Process Variation -  7m 14s - 6.63 MB
15. Basic Application of Six Sigma Concepts - Part A -  7m 43s - 11.48 MB
16. Basic Application of Six Sigma Concepts - Part B -  7m 20s - 5.45 MB
17. Basic Concepts of Design-for-Six-Sigma (DFSS) -  1m 58s - 2.31 MB
18. Critical Links between Six Sigma and Process Yield - Part A -  5m 10s - 2.91 MB
19. Critical Links between Six Sigma and Process Yield - Part B -  8m 33s - 6.39 MB
20. Critical Links between Yield and Complexity - Part A -  6m 56s - 3.82 MB
21. Critical Links between Yield and Complexity - Part B -  7m 27s - 4.87 MB
22. Critical Links between Yield and Complexity - Part C -  7m 00s - 14.10 MB
23. Proven Strategies for Realizing Breakthrough -  5m 19s - 4.92 MB
Supporting Media
Summary Slides: Content Overview

Driving Need - Identify the needs that underlie a Six Sigma initiative

Customer Focus - Explain why focusing on the customer is essential to business success

Core Beliefs - Contrast the core beliefs of Six Sigma to conventional practices

Deterministic Reasoning - Describe a basic cause-and-effect relationship in terms of Y=f(X)

Leverage Principle - Relate the principle of leverage to an improvement project

Tool Selection - Identify the primary family of analytical tools used in Six Sigma work

Performance Breakthrough - Describe the underlying logic of the DMAIC improvement process

Business Principles

Quality Definition - Articulate the idea of quality in terms of value entitlement

Value Proposition - Define the primary components of value and their key elements

Underpinning Economics - Describe the relationship between quality and cost

Process Management

Performance Yield - Explain why final yield is often higher than first-time yield

Hidden Processes - Describe the non-value added component of a process

Measurement Power - Describe the role of measurement in an improvement initiative

Establishing Baselines - Explain why performance baselines are essential to realizing improvement

Performance Benchmarks - Explain how a benchmarking chart can be used to assess quality performance

Defect Opportunity - Understand the nature of a defect opportunity and its role in metrics reporting

Process Models - Define the key features of a Six Sigma performance model

Process Capability - Identify the primary indices of process capability

Design Complexity - Describe the impact of complexity on product and service quality

Installation Guidelines

Champion Role - Define the operational role of a Six Sigma Champion and highlight key attributes

Black Belt Role - Define the operational role of a Six Sigma Black Belt and highlight key attributes

Green Belt Role - Define the operational role of a Six Sigma Green Belt and highlight key attributes

White Belt Role - Define the operational role of a Six Sigma White Belt and highlight key attributes

Application Projects - Describe the purpose of Six Sigma Application Projects and how such projects are executed

Application Projects

Project Description - Understand how to fully define a Six Sigma application project

Project Leadership - Recognize the actions that must occur to ensure successful project leadership

Project Payback - Understand the driving need for establishing project paybacks

Value Focus

Recognize Needs - Recognize the power of need fulfillment and how it links to value creation

Define Opportunities - Understand how to define opportunities that lead to the creation of value

Measure Conditions - Identify and evaluate the conditions that underlies improvement opportunity

Analyze Forces - Explain how the underlying forces are identified and leveraged to create beneficial change

Improve Settings - Establish optimal settings for each of the key forces that underpins beneficial change

Control Variations - Discuss how unwanted variations can mask the pathway to breakthrough

Standardize Factors - Understand the role and importance of standardized success factors

Integrate Lessons - Explain how key lessons learned can be merged into a set of best practices

Application Example - Understand how the breakthrough process can be applied to everyday life

Lean Practices

Lean Thinking - Comprehend the underlying logic of lean thinking

Visual Factory - Explain the role of a visual factory during improvement efforts

Kanban System - Describe how a Kanban system can improve process cycle-time

PokaYoke System - Understand how PokaYoke systems can lead to quality improvement

6S System - Explain how the 6S system can contribute to process efficiency

7W Approach - Describe how the 7W approach can be used to solve problems

6M Approach - Explain how the 6M approach is used to identify sources of causation

Quality Tools

Variable Classifications - Define the various types of variables commonly encountered during quality improvement

Measurement Scales - Describe each of the four primary scales of measure and their relative power

Problem Definition - Characterize the nature of a sound problem statement

Focused Brainstorming - Explain how focused brainstorming is used to facilitate improvement efforts

Process Mapping - Understand how to define the flow of a process and map its operations

SIPOC Diagram - Describe the nature and purpose of an SIPOC diagram

Force-Field Analysis - Utilize force field analysis to solve problems

C&E Analysis - Explain how C&E matrices can be used to solve quality problems

Failure Mode Analysis - Understand how FMEA is used to realize process and design improvements

Performance Sampling - Explain how to design and implement a sampling plan

Check Sheets - Understand how check sheets can be used for purposes of data collection

Analytical Charts - Identify the general range of analytical charts that can be used to assess performance

Pareto Charts - Explain how Pareto charts can be used to isolate improvement leverage

Run Charts - Utilize run charts to assess and characterize time-based process data

Multi-Vari Charts - Define the major families of variation and how they can be graphed

Correlation Charts - Utilize a correlation chart to illustrate the association between two variables

Frequency Tables - Explain how to construct and interpret a frequency table

Performance Histograms - Construct and interpret a histogram and describe several purposes

Basic Probability - Understand basic probability theory and how it relates to process improvement

Control Charts - Explain the purpose of statistical process control charts and the logic of their operation

Concept Integration - Understand how to sequence a given selection of quality tools to better solve problems

Basic Statistics

Performance Variables - Identify and describe the types of variables typically encountered in field work

Statistical Notation - Recognize and interpret the conventional forms of statistical notation

Performance Variation - Explain the basic nature of variation and how it can adversely impact quality

Normal Distribution - Describe the features and properties that are characteristic of a normal distribution

Location Indices - Identify, compute, and interpret the mean, median, and mode

Dispersion Indices - Identify, compute, and interpret the range, variance, and standard deviation

Continuous Capability

Performance Specifications - Explain the basic nature and purpose of performance specification limits

Cp Index - Compute and interpret Cp

Cpk Index - Compute and interpret Cpk

Discrete Capability

Defect Metrics - Identify and describe the defect metrics commonly used in Six Sigma work

Defect Opportunities - Understand the nature and purpose of defect opportunities in terms of quality reporting

Control Methods

Statistical Control - Explain the meaning of statistical control in terms of random variation