Hudson Courses Limited

IASSC Lean Six Sigma Green Belt – Live Online Part-Time Class, 12 Evenings (Exam Included)

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Metodologia Online
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Descrizione

Six Sigma is a set of techniques and tools for process improvement. It was introduced by engineer Bill Smith while working at Motorola in 1986. Jack Welch made it central to his business strategy at General Electric in 1995. Today it is used in many industrial sectors.



Six Sigma seeks to improve the quality of the output of a process by identifying and removing the causes of defects and minimizing variability in manufacturing and business processes. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization, who are experts in these methods. Each Six Sigma project carried out within an organization follows a defined sequence of steps and has specific value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits.

The term Six Sigma originated from terminology associated with statistical modeling of manufacturing processes. The maturity of a manufacturing process can be described by a sigma rating indicating its yield or the percentage of defect-free products it creates. A six sigma process is one in which 99.99966% of all opportunities to produce some feature of a part are statistically expected to be free of defects. This works out to be 3.4 defective features per million opportunities. Motorola set a goal of “six sigma” for all of its manufacturing operations. This goal became a by-word for the management and engineering practices used to achieve it. It has since been adopted the world over by business and industry.

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È la formazione giusta per me?

Lean Six Sigma Green Belt is most beneficial for organizations that encourage employees to take up Quality projects and ensure efficiency in all business/industry processes. This certification is most suited for:


Quality and Process Managers, System Managers, Analysts, Auditors, Engineers and Executives who need to have a better understanding of Six Sigma and the application of Six Sigma in process/quality improvements.
Production Managers, Production Supervisors, and Customer Service Managers
Persons wanting an initial introduction to Six Sigma thinking and techniques
Consultants who want to incorporate Six Sigma Green Belt into their service offerings
Professionals working in the support functions like Finance, Purchase, Sales, Marketing, Training, Recruitment, Operations, IT-Support, Travel, etc.

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Opinioni sul corso

S
SNEHA
02/07/2017
Il meglio: Amazing services they offer.
Da migliorare: nothing to improve
Corso realizzato: Luglio 2017
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Enock Mhindurwa
14/07/2017
Il meglio: Mr Dunn - Yellow and Green Belt Tutor was exceptionally good in his methods. I recommend anyone who wants to study the Lean Six Sigma to go for Knowledge Academy.
Da migliorare: Nothing
Corso realizzato: Luglio 2017
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L
Lara Z
24/08/2017
Il meglio: Since the beginning, the communication with Hudson was fluid. I contacted them and they solve my problems quickly and efficiently! I highly recommend!
Da migliorare: Nothing.
Corso realizzato: Agosto 2017
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* Opinioni raccolte da Emagister & iAgora

Cosa impari in questo corso?

Six Sigma
Lean
Testing
Statistics
Quality
Project
Green
Part Time
Quality Training
Certification
Lean Six Sigma Green Belt
Quality management methods

Programma

What does this course cover?


In addition to covering the DMIAC methodology for preparation of the IASSC exam, this course also:
  • Explains the reasoning and basis behind Six Sigma and Lean
  • Will train you in the use of the Six Sigma tools and techniques
  • Will provide you with exercises and worked examples
  • Will apply the tools and techniques to real-world projects
  • Will provide you with hints and tips on running a successful project


 The course curriculum covers: 

1.0 DEFINE PHASE

  • 1.1 The Basics of Six Sigma
  • 1.1.0 Overview of Six Sigma
  • 1.1.1 Meanings of Six Sigma
  • 1.1.2 General History of Six Sigma & Continuous Improvement
  • 1.1.3 Deliverables of a Lean Six Sigma Project
  • 1.1.4 The Problem Solving Strategy Y = f(x)
  • 1.1.5 Voice of the Customer, Business and Employee
  • 1.1.6 Six Sigma Roles & Responsibilities
  • 1.2 The Fundamentals of Six Sigma
  • 1.2.1 Defining a Process
  • 1.2.2 Critical to Quality Characteristics (CTQ’s)
  • 1.2.3 Cost of Poor Quality (COPQ)
  • 1.2.4 Pareto Analysis (80:20 rule)
  • 1.2.5 Basic Six Sigma Metrics
  • 1.3 Selecting Lean Six Sigma Projects
  • 1.3.1 Building a Business Case & Project Charter
  • 1.3.2 Developing Project Metrics
  • 1.3.3 Financial Evaluation & Benefits Capture
  • 1.4 The Lean Enterprise
  • 1.4.1 Understanding Lean
  • 1.4.2 The History of Lean
  • 1.4.3 Lean & Six Sigma
  • 1.4.4 The Seven Elements of Waste
  • 1.4.5 5S


2.0 MEASURE PHASE

  • 2.1 Process Definition
  • 2.1.1 Cause & Effect / Fishbone Diagrams
  • 2.1.2a Process Mapping
  • 2.1.2b SIPOC
  • 2.1.2c Value Stream Map
  • 2.1.3 X-Y Diagram2.1.4 Failure Modes & Effects Analysis (FMEA)
  • 2.2 Six Sigma Statistics
  • 2.2.1 Basic Statistics
  • 2.2.2 Descriptive Statistics
  • 2.2.3 Normal Distributions & Normality
  • 2.2.4 Graphical Analysis
  • 2.3 Measurement System Analysis
  • 2.3.1 Precision & Accuracy
  • 2.3.2 Bias, Linearity & Stability
  • 2.3.3 Gage Repeatability & Reproducibility
  • 2.3.4 Variable & Attribute MSA
  • 2.4 Process Capability
  • 2.4.1 Capability Analysis
  • 2.4.2 Concept of Stability
  • 2.4.3 Attribute & Discrete Capability
  • 2.4.4 Monitoring Techniques

3.0 ANALYSE PHASE
  • 3.1 Patterns of Variation
  • 3.1.1 Multi-Vari Analysis
  • 3.1.2 Classes of Distributions
  • 3.2 Inferential Statistics
  • 3.2.1 Understanding Inference
  • 3.2.2 Sampling Techniques & Uses
  • 3.2.3 Central Limit Theorem
  • 3.3 Hypothesis Testing
  • 3.3.1 General Concepts & Goals of Hypothesis Testing
  • 3.3.2 Significance; Practical vs. Statistical
  • 3.3.3 Risk; Alpha & Beta
  • 3.3.4 Types of Hypothesis Test
  • 3.4 Hypothesis Testing with Normal Data
  • 3.4.1 1 & 2 Sample T-tests
  • 3.4.2 1 Sample Variance
  • 3.4.3 One Way ANOVA
  • 3.5 Hypothesis Testing with Non-Normal Data
  • 3.5.1 Mann-Whitney
  • 3.5.2 Kruskal-Wallis
  • 3.5.3 Mood’s Median
  • 3.5.4 Friedman
  • 3.5.5 1-Sample Sign
  • 3.5.6 1 Sample Wilcoxon
  • 3.5.7a One Sample Proportion
  • 3.5.7b Two Sample Proportion
  • 3.5.8 Chi-Squared (Contingency Tables)


4.0 IMPROVE PHASE

  • 4.1 Simple Linear Regression
  • 4.1.1 Correlation
  • 4.1.2 Regression Equations
  • 4.1.3 Residuals Analysis
  • 4.2 Multiple Regression Analysis
  • 4.2.1 Non- Linear Regression
  • 4.2.2 Multiple Linear Regression
  • 4.2.3 Confidence & Prediction Intervals
  • 4.2.4 Residuals Analysis
  • 4.2.5 Data Transformation, Box Cox

5.0 CONTROL PHASE5.

  • 1 Lean Controls
  • 5.1.1 Control Methods for 5S
  • 5.1.2 Kanban
  • 5.1.3 Poka-Yoke (Mistake Proofing)
  • 5.2 Statistical Process Control (SPC)
  • 5.2.1 Data Collection for SPC
  • 5.2.2 I-MR Chart
  • 5.2.3 Xbar-R Chart
  • 5.2.4 U Chart
  • 5.2.5 P Chart
  • 5.2.6 NP Chart
  • 5.2.7 Xbar-S Chart
  • 5.2.8 CumSum Chart
  • 5.2.9 EWMA Chart
  • 5.2.10 Control Chart Anatomy
  • 5.3 Six Sigma Control Plans
  • 5.3.1 Cost Benefit Analysis
  • 5.3.2 Elements of the Control Plan
  • 5.3.3 Elements of the Response Plan


At the end of this Six Sigma Green Belt certification course, you will be able to:

  • Become a key stakeholder in leading, and implementing lean six sigma projects in your organization
  • Understand Six Sigma and DMAIC Methodology
  • Describe how to identify an improvement project in the Define phase
  • Explain how to measure process and product in the Measure phase
  • Perform data analysis and hypothesis testing in the Analyze phase
  • Identify the possible improvement actions for the performance of variations in the Improve phase
  • Define efficient operating levels for inputs and outputs in the Control phase
  • Identify the voice of customers, their requirement & needs
  • Understand their role in the success deployment
  • Understand how to develop a strategy for Six Sigma approach
  • Apply the DMAIC process to business issues



Key Points
  • Live online class spread over 12 evenings
  • Evening classes are spread over 4 weeks from Tue-Thur
  • 3 hour evening classes from 6:30pm-9:30pm (35 hours in total)
  • Taught by a Six Sigma Master Black Belt with 15 years experience in the Automotive and Electrical Manufacturing industries
  • Course can be attended any where in the world
  • Notes and material provided
  • Mock test paper to prepare you for the IASSC exam
  • Small class. Less than 10 students per class
  • Ability to jump into future classes if you miss a lesson
  • No projects, assignments, or sponsorship required to get certified. Just pass the exam
  • IASSC Six Sigma Green Belt exam fee included
  • IASSC official exam can be sat at home or in the office any where in the world
  • Upon successful completion of the final exam, you will receive a certification from the IASSC confirming you are fully Six Sigma Green Belt certified
  • Course created for Minitab


Ulteriori informazioni

Further questions?
If you have any questions about this course, the certification, online exam, or anything else, please drop us an email at support@hudsoncourses.com