Industrial Lean Six Sigma Green Belt Training and Certification
Because we truly believe in providing our clients with the "right tools for the job," SigmaPro offers an additional specialization for industrial Black Belts. Our Lean Six Sigma Black Belt for Industrial Candidates training course delivers the traditional tools of DMAIC, SigmaPro's proprietary tools and methods, and state of the art Lean Six Sigma tools, all effectively and seamlessly integrated to form a powerful improvement approach for industrial projects. Lean Six Sigma tools and methods have a high success rate in industrial applications. All participants receive a thorough exposure to the tools and methods that are necessary to successfully lead and contribute to Lean Six Sigma improvement projects in an industrial environment. Hands-on exercises and tutorials are utilized to ensure rapid learning and knowledge retention. This 20-day program is delivered in 2 blocks of 10 days (typically one month between training blocks) in order to allow participants to apply the tools and methods to a project in their own business while under the guidance of one of SigmaPro’s highly qualified Master Black Belts.
Detail
| Date: | |
| Duration: |
20, day(s) 9:00AM - 5:00PM |
| Fee: | $9,000.00 |
| Venue: | TBA |
Block 1: 05-16 Sep, 2011,
Block 2: 10-21 Oct, 2011
- Fees are subjected to prevailing GST of 7%
- For more information, please contact JobsDB Learning at 65788111 or email to learning@jobsdb.com.sg
- Payment must be made before the commencement of the workshop. No cancellation is allowed 7 days prior to workshop.
Certifications:
A training certificate will be provided by SigmaPro Inc., USA. Formal Lean Six Sigma Green Belt certification is granted upon completion of the training course, completion of a Lean Six Sigma project, and review of the project results by the SigmaPro instructor.
Outline
DEFINE PHASE
01. COURSE & DEFINE PHASE INTRODUCTION
02. THE LEAN SIGMA CONTEXT
03. BASIC LEAN SIGMA METRICS
04. FINANCIAL ANALYSIS FOR LEAN SIGMA PROJECTS
05. IDENTIFYING, SELECTING AND EXECUTING LEAN SIGMA PROJECTS
06. PLANNING LEAN SIGMA PROJECTS
(a) Defining Lean Sigma Projects
(b) Scheduling for Lean Sigma Projects
(c) Building Support for Lean Sigma Projects
07. MANAGING CHANGE FOR LEAN SIGMA
(a) The Change Process
(b) Successfully Deploying Lean Sigma
08. DEFINE PHASE & CHAMPION SUMMARY
MEASURE PHASE
09. MEASURE PHASE INTRODUCTION
10. AN INTEGRATED TOOLSET FOR ANALYSIS OF QUALTITATIVE VOC DATA
(a) Voice of the Customer Overview
(b) The VOC Analysis Toolset
(c) Quality Function Deployment
11. AN INTEGRATED TOOLSET FOR PROCESS DECOMPOSITION & ANALYSIS
(a) Value Stream Mapping Overview
(b) Value Stream Mapping in SigmaWorks Professional
(c) Defining Inputs & Outputs
(d) SIPOC(R)
(e) Identifying Key Steps Using the Architecture Importance Matrix
(f) Identifying Failure Modes Using Fault Tree Analysis
(g) Assessing Risk Using Failure Mode and Effects Analysis (FMEA)
(h) The Risk vs. Importance Plot
(i) The Input Importance Matrix (IIM)
(j) The Variables Selection Matrix (VSM)
(k) The Data Collection Plan
12. INTRODUCTION TO DESCRIPTIVE AND INFERENTIAL STATISTICS
(a) Introduction To Minitab
(b) Basic Probability & Statistics Models
(c) Useful Discrete Probability Models
(d) Continuous Probability Models
(e) Graphical Analysis
(f) Sampling Distributions & Confidence Intervals
(g) Hypothesis Testing
(h) Two-variable Probability Models
13. SUMMARY BLOCK 1
ANALYZE PHASE
14. ANALYZE PHASE INTRODUCTION WEEK 2
15. CAPABILITY ANALYSIS
(a) Capability Analysis for Categorical Data
(b) Capability Analysis for Continuous Data
(c) Capability for Non-Normal Data
16. ANALYSIS OF VARIANCE
(a) 1-Way ANOVA
(b) Tukey’s Multiple Comparison Test
(c) Test for Equal Variances
(d) 2-Way and N-Way ANOVA
(e) Multivari Charts
17. SIMPLE LINEAR REGRESSION
(a) Definitions and Terms
(b) Understanding the Sum of Squares
(c) Analyzing a Simple Linear Regression
(d) Analyzing the Residuals
18. MULTIPLE LINEAR REGRESSION
(a) Terms and Definitions
(b) The Concept of Collinearity
(c) A Six-Step Model Building Procedure
(d) Minitab’s Multiple Linear Regression Routine
19. SEQUENTIAL REGRESSION AND BEST SUBSETS
(a) Stepwise Regression
(b) The Best Subsets Procedure
20. CATEGORICAL DATA ANALYSIS
(a) Contingency Tables
(b) Binary Logistic Regression
(c) Ordinal Logistic Regression
(d) Nominal Logistic Regression
21. INTRODUCTION TO LEAN CONCEPTS
(a) The Lean Enterprise
(b) Value Stream Mapping Overview
(c) Creating Value Stream Maps
22. SUMMARY BLOCK 2
IMPROVE PHASE
23. IMPROVE PHASE INTRODUCTION WEEK 3
24. CREATING, SELECTING AND IMPLEMENTING SOLUTIONS
(a) Brainstorming Solutions
(b) Selecting Concepts
(c) Planning for Implementation
25. LEAN SIGMA TOOLS AND METHODS
(a) Visual Management and 5S
(b) Standard Operations
(c) One-piece Flow
(d) Error Proofing (Poka Yoke)
(e) Lean Sigma in Administrative Processes
(f) Observing the Process
(g) Queuing Analysis
(h) Cycle Time Reduction Methods
26. DISCRETE EVENT SIMULATION I
(a) Introduction to ProcessModel
(b) Entities and Activities
(c) Defining Resources
(d) Defining Entity Routings
27. DISCRETE EVENT SIMULATION II
(a) Action Logic
(b) Variability with Distributions and Replications
(c) Submodels and Linking Models
28. TWO-LEVEL FULL FACTORIAL EXPERIMENTATION
(a) Terms and Definitions
(b) Creating Two-Level Factorial Designs
(c) Analyzing Two-Level Factorial Designs
29. TWO-LEVEL FRACTIONAL FACTORIAL DESIGNS
(a) Creating Two-Level Fractional Factorial Designs
(b) Analyzing Two-Level Fractional Factorial Designs
30. Plackett-Burman Designs
31. MEASUREMENT SYSTEMS FOR INDUSTRIAL APPLICATIONS
(a) Terms and Definitions
(b) Variance Components
(a) Minitab’s Gage R&R Routine
(b) Advanced Risk Analysis
(c) Bias, Stability and Linearity Appendix
32. RESPONSE SURFACE DESIGNS & MODELS
(a) Overview of RS Designs
(b) Central Composite Designs
(c) Guided CCD Example
(d) Optimizing Multiple Responses
33. GENERAL NONLINEAR OPTIMIZATION
(a) Overview of Nonlinear Optimization
(b) Guided Optimization Example
(c) Optimization Exercises
34. SUMMARY BLOCK 3
CONTROL PHASE
35. CONTROL PHASE INTRODUCTION
36. DATA MINING & SURVEY ANALYSIS TECHNIQUES
(a) Multivariate Probability Distributions
(b) Principal Components Analysis
(c) Discriminant Analysis
(d) Cluster Analysis
(e) Survey Analysis
37. PROCESS AND PRODUCT VALIDATION TOOLS
(a) Nonparametric Statistical Methods
(b) Reliability for Industrial & Service Applications
(c) Systems Reliability Models
(d) Reliability Distributions
(e) Hazard Analysis
(f) Reliability Distribution Analysis
(g) Monte Carlo Simulation
38. MONITORING AND CONTROLLING PROCESSES
(a) Performance Measurement
(b) Applied Forecasting Methods
(c) Acceptance Sampling
(d) Process Control Concepts
(e) Shewhart Charting
(f) The Western Electric Rules
(g) Variables Control Charts
(h) Attribute Control Charts
(I) Rational Subgrouping
39. SUCCESSFULLY IMPLEMENTING SOLUTIONS
(a) Piloting Concepts
(b) Creating and Using Control Plans
(c) Successfully Closing Projects
(d) Sustaining The Gains
40. LEAN SIGMA COURSE SUMMARY
Facilitators
SigmaPro (www.sigmapro.com) is a world leading provider of training, certification, and consulting services in Lean Six Sigma (LSS) and Design for Six Sigma (DFSS). SigmaPro offers Champion, Master Black Belt, Black Belt, Green Belt and Yellow Belt certifications.
SigmaPro Inc. was founded in 2000 by Dr. Douglas Mader, the co-inventor of Six Sigma and the world very first Master Black Belt. Dr. Douglas Mader helped develop and deliver the very first DMAIC (Define-Measure-Analyze-Improve-Control) Black Belt and Master Black Belt training in 1991. With global headquarters located in Fort Collins, Colorado, USA, SigmaPro serves satisfied clients throughout the world via facilities located in key geographic areas including: Germany, India, Mexico, Thailand, Trinidad, United Arab Emirates, and the United Kingdom.
Mr. Weixing Yu is a certified SigmaPro Master Black Belts instructor in Singapore, he has attended and completed SigmaPro’s rigorous Master Black Belt certification course, and was personally selected and screened by Dr. Mader.
SigmaPro’s Lean Six Sigma and Design for Six Sigma (DFSS) training curricula fully integrate the latest tools, methods, and best practices into a coherent step-by-step system that maximizes results while minimizing effort.
SigmaPro’s intellectual property has been independently developed – it is not a derivative of training materials of any other consulting organization or client of a consulting organization, as has become common in the Lean Six Sigma and Six Sigma consulting industry. SigmaPro’s DMAIC, DFSS and Lean Six Sigma curriculums are aligned with the American Society for Quality (ASQ) Six Sigma body of knowledge (SSBOK). In fact, the SigmaPro curriculum is substantially more rigorous than ASQ’s SSBOK in many regards. SigmaPro’s DFSS curriculum is second to none based on client feedback and an independent review of several competing curriculums. In addition, SigmaPro’s training curriculum was utilized by the American Society for Quality and the Six Sigma Academy for several years.
Who Should Attend
Typical participants include manufacturing, process, or systems engineers, quality engineers, design engineers and other technologists who will be responsible to define, launch, and execute Lean Six Sigma projects.
Previous candidates have come from electronics, automotive, construction, design, defense, as well as other design and manufacturing organizations.