The Lean Six Sigma methodology is a systematic application that is focused on achieving significant financial results and increasing customer satisfaction. When properly deployed on carefully selected business projects, this methodology can lead to a significant reduction—and in many cases, elimination—of defects, process waste, and out-of-control processes, which translate into dramatic business gains.
Lean Six Sigma Green Belts provide value within the organisation’s Lean Six Sigma framework in a variety of ways. They serve on Black Belt project teams to help collect and analyse 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.
Increase yield
Reduce cost
Reduce waste
Reduce customer complains
Reduce rework cost or eliminate rework
Reduce inspection cost
Enhance product quality
On-time delivery
Enhance safety
Improve employees’ problem solving and decision making skills
Improve efficiency
Improve accuracy and control
Improve customer service
Improve cash flow
Improve regulatory compliance
Fundamental Session – Lean Six Sigma Concepts Why Lean Six Sigma ?
Why Lean Six Sigma ?
Be customer focused: Be on-time, responsive, flexible, and fast.
Simplify and standardize work flows: Mimic continuous flow, minimize WIP, use visible measures.
Manage capacity: Increase process uptime, reduce set-up times, find “lost” capacity.
Eliminate waste: Identify non-value adding activities, then modify, combine, or eliminate those tasks.
JIT: Not too early and never late; not just-in-case inventory but just-in time production and delivery; products must always be made right the first time; equipment must always work when needed.
Lean Terminology – Terms, Tools and Techniques.
Eliminate Waste with Lean
Identify the waste
Identify the types of waste
Use pull scheduling instead of push scheduling.
Schedule to the rate-determining step (the bottleneck., then de-bottleneck process lines.
Facilitate fast feedback:
Components of Lean
Overview of the Components of Lean: Value Stream Mapping, Workplace Organization, Predictability & Consistency, Set-up Reduction, TPM, Visual Factory, Support Processes, & Continuous Improvement.
Lean Thinking
Eliminating waste is not limited to manufacturing; the same techniques apply to the office, sales, finance, maintenance, and even R&D processes and procedures.
Lean & Six Sigma are complementary.
Value Stream Mapping.
Identify process goals.
Key Process Input Variables
Key Process Output Variables
Collect & analyse process data.
Work flow analysis to determine how to minimize high volume travel
distances.
Identify and remove bottlenecks, & move to pull manufacturing with kanbans.
Lean Starts with People
Communicate the why, what, how, & who.
Provide education in the concepts.
Train employees in tools & techniques as needed to achieve a flexible workforce.
Data Drives Lean
Focus efforts on projects that lead to tangible saving.
Calculation techniques to generate data include: Time studies, equipment loading, TAKT time, staffing requirements, process yields, & CTQ.
Road map for Lean
Start with the people issues.
Focus on workplace organization then, use value stream analysis and process work flow analysis to establish effective layouts.
Where to focus next depends on specific needs.
Use targeted Kaizen events to speed changes.
Do not overlook the need to modify support processes
This module will give an introduction to some of the history of lean, how this has developed into a business system and provides a detailed explanation of the principles behind how lean can be made to work in any business. In this module you will learn that successful implementation of lean demand the involvement of people across the organization.
Introduction of Lean Management
Principle of Lean Thinking
The principle that the customer defines value – beginning of lean improvement activity The importance of delivering customer value without waste using Value Stream Thinking, Flow in the work place and delivering the value.
Standard work in order
Personal commitment and change our action, habits, values and belief
Power of A3 Thinking for process improvement
A3 Thinking for root cause analysis and practical solution
A3 Thinking for visual process which can reduce the very common of waste and rework Moving forward in our organization
Base Line Analysis is the engine of change that builds the future state vision piece by piece. We do this by involving people who work in the process to help make it happen and the key differentiator between Rapid Process Improvement and most other improvement activities is the real change is delivered within short time period.
Process focus
Identification and elimination of barriers to flow
Flow and the economies of flow
Understanding of Variation
Wastes (Muda), Fluctuation (Mura) and Overburden (Muri)
Connect and align value added work fragments
Match rate of production to level of customer demand – just in time
Scientific thinking – stability, standardization, recognize abnormality, go and see
Jidoka
Quality at the source
No defects passed forward
Separate man from machine
Multi process handling
Self detection of error
Stop and fix
Seek Perfection
Incremental continuous improvement (Kaizen)
Breakthrough continuous improvement (Kaikaku)
Total System Value Stream Mapping to analyse the problems and wastes
Visual workplace – to analyse waste in the process
5S standards and discipline
Production, Process and Preparation (3P) to identify the wastes
Total Productive Maintenance – 16 Manufacturing Losses, OEE, MTTR, MTBF
Standard Work – Time Study in the process
Strategic Business Assessment – Productivity indicators analysis
Rapid Breakthrough Improvement Process Methodology
Lean Six Sigma Approach
Project Management Application
The seeing waste module review the differing approach to improvement and then looks at the different types of process waste and discuss why process mapping is a good way of identifying this waste. As with all aspects of lean, the collection of supporting data is a pre- requisite to delivering a good result and process mapping is no different in needing supporting data.
This module will provide you with an overview of the process and then provides downloads that you will require in order to complete you own process mapping. One of the fundamental skills to help drive a lean transformation is problem solving. For problem solving to be successful organisation wide we need a structured process that everyone can use.
This module will go through the fundamental around such a problem solving and corrective action process that you will then be able to use in your own organisation.
DEFINE PHASE
Overview of Six Sigma
What is Six Sigma?
Six Sigma History
Six Sigma Approach
Six Sigma Methodology
Roles & Responsibilities
Fundamentals of Six Sigma
Defining a Process
VOC & CTQ’s
QFD
Cost of Poor Quality
Pareto Chart & Analysis
Lean Six Sigma Projects
Six Sigma Metrics
Business Case & Charter
Six Sigma Metrics
Project Team Selection
Project Risk Management
Project Planning
MEASURE PHASE
Process Definition
Cause & Effect Diagrams
Cause & Effect Matrix
Process Mapping
FMEA
Theory of Constraints
Six Sigma Statistics
Basic Statistics
Descriptive Statistics
Distributions & Normality
Graphical Analysis
Measurement Systems
Precision & Accuracy
Bias, Linearity, Stability
Gage R & R
Variable MSA
Attribute MSA
Process Capability
Capability Analysis
Concept of Stability
Attribute Capability
Monitoring Techniques
ANALYSE PHASE
Inferential Statistics
Understanding Inference
Sampling Techniques
Sample Size
Central Limit Theorem
Hypothesis Testing
Goals of Hypothesis Tests
Statistical Significance
Risk: Alpha & Beta
Types of Hypothesis Tests
Hypothesis Tests: Normal
Sample t-test
Sample t-test
1 Sample Variance
One Way ANOVA
Test of Equal Variance
Normality Tests
Sample Size Calcs
Hypo Tests: Non-Normal
Mann-Whitney Kruskal-Wallis
Mood’s Median
Friedman
1 Sample Sign
IMPROVEMENT PHASE
Simple Linear Regression
Correlation
XY Diagram
Regression Equations
Residuals Analysis
Multiple Regression
Non-Linear Regression
Multiple Regression
Confidence Intervals
Residuals Analysis
Data Transformation
Stepwise Regression
Logistic Regression
CONTROL PHASE
Lean Controls
Control Methods for 5S
Kanban
Poka-Yoke
SPC
SPC Data Collection
Xbar-R Chart
Xbar-S Chart
U Chart
C Chart
P Chart
NP Chart
CumSum Chart
EWMA Chart
Control Methods
Control Chart Anatomy
Sub-grouping & Sampling
Control Limit Calcs
Control Plans
Cost Benefit Analysis
Elements of Control Plans
Elements of Response Plan
In this module, you will have the opportunity to reflect on the application of your learning in the workplace. Further more it is most important that you allocate sufficient time to complete any outstanding actions from your activities. As defined in the earlier modules RBI cycle, going to Gemba and helping the team to problem solve and get the result is crucial at this stage.
Principles of Business Results
Create value based on organization performance
Measure customer needs and wants
Guidelines for measurement
Measurement System
Align with customer needs
Measure the whole system
Measure flow and waste
Lean accounting
Voice of the customer
Goal and Objectives setting
Reporting
Key Lean Indicators Related Measures
Yield
Quality matters
Delivery
Cost
Financial Impact
Competitive Impact