Course Introduction

Motorola initially developed Six Sigma training in 1986 which stresses more on time-cycle enhancement and reducing various manufacturing defects to a minimum level of 3.4 per million. As the time has passed, customer requirements, retention of clients, developing and sustaining business products and services has become the standard philosophy for Six Sigma. Six Sigma is one of the excellence upgrading processes which connects with collection and improvement of the information data from different business groups and then identifying its defects. It focuses on reducing all the errors once they occur in a short span of time along with improved variability in manufacturing and business processes.

It supports in creating a unique set-up of individuals who are expert in applying the set of quality management methods like empirical method and statistical method at the most. There is a categorization of phases which the Six Sigma professional follows with absolute assignment of specific value targets to each step. In the below diagrammatic presentation various industries and functions related to them are shown and the benefits they get from Six Sigma.   

  

  • Industry documented Six Sigma Black Belt training by skilled experts

  • Fast-track your career with SIX SIGMA BLACK BELT authorization by one of the top training organisation

  • Progress job performance stages with high-quality learning material

  • Raise your professional graph by leaps and bounds with this Maven’s Training course

  • Get acquainted with expert guidance from industrial background

What's included

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Courseware

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Certificate

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Exam(s) included

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Pre Course Material

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Tutor Support

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Refreshment

Prerequisites

For becoming Six Sigma Black Belt professional and get Six Sigma certification, one has to fulfill the following conditions in advance so that there will be no problem shortly:

  • Six Sigma Black Belt has to get two completed projects with signed affidavits
  • Three years of work experience in one or more areas of the Six Sigma Black Belt Body of Knowledge and one whole project along with a signed affidavit.

What Will You Learn

After the completion of the course the delegates will become able to perform following tasks:

  • Apply various Lean concepts like 5S, waste reduction, process mapping, value stream mapping and mistake proofing
  • Understand advanced statistical analyses for defining the relationship between the primary inputs and process outputs and apply more basics to it
  • Manage the team dynamics efficiently and at a faster pace
  • Understanding as to how to work with multiple levels of leadership
  • Removing barriers to problems and achieve project success
  • Concluding projects and handing over control to process owners
  • Present these projects to instructors, peers and managers

Who should take this course

The following category of individuals can get the benefit if they get on with the course:

  • Project Managers to complete projects efficiently
  • Quality Assurance Engineers for improving the quality of data
  • Members of Software Quality Assurance team to maintain quality
  • Audit managers for going through various company reviews
  • IT Security professionals for implementing policies judicially
  • Senior Managers for handling and monitoring employees’ performances
  • Management students for learning the benefits of using different methodologies
  • Team leaders for managing the teams correctly
  • Software Professionals to develop high-quality software after applying techniques to manage variability
  • Administration of the company if they wish to implement Six Sigma

Overview

Six Sigma is in link with an ideology which emphases on refining several statistics that forms a part of business process. The qualitative extents should take a step ahead for getting success over qualitative indicators according to Six Sigma. In this way, the accomplishment of reliability will be there to increase the work recitals by different personnel. Six Sigma practitioners include all those business people who use statistics, financial analysis and project management for achieving improved business functions. It applies to all industries and vendors who want to attain goodwill by using various belts of Six Sigma.

In this course, delegates will learn about different aspects of five phases which comprise Six Sigma training. These steps include defining the problem, measuring the quantity of the problem, analysing it properly, improving it by verifying the solution, and controlling and maintaining the solution. With a pre-defined path, delegates can achieve Six Sigma belt levels which range from white to black belt. Finally, it supports and promotes the ideas which comprise the philosophy through which all business processes can become quantifiable and elevated.

The following diagram explains the responsibilities of individuals at various levels of Six Sigma Belt.

EXAM:

For measuring the comprehension of the course, each certification candidate is required to pass an examination that consists of multiple-choice questions. There will be 100 questions out of which 70 are recommended to be given to make the exam. The review will come only in English.

 

Course Content

The following details include in the course as a part of the course content:

  1. DEFINING PHASE
  • Six Sigma Overview
    • What is Six Sigma?
    • History of Six Sigma
    • Y = f(x) Approach
    • Methodology of Six Sigma
    • Roles & Responsibilities
  • Fundamentals of Six Sigma
    • Defining Process
    • VOC & CTQ’s
    • QFD
    • Cost of Poor Quality
    • Pareto (80:20 rule)
  • Projects of Lean Six Sigma
    • Six Sigma Metrics
    • Business Case & Charter
    • Project Team Selection
    • Project Risk Management
    • Project Planning
  • Lean Fundamentals
    • Lean & Six Sigma
    • History of Lean
    • The Seven Deadly Muda
    • Five-S (5S)
  1. MEASURING PHASE
  • Process Definition
    • Cause & Effect Diagrams
    • Cause & Effects Matrix
    • Process Mapping
    • FMEA
    • Theory of Constraints
  • Six Sigma Statistics
    • Basic Statistics
    • Descriptive Statistics
    • Distributions & Normality
    • Graphical Analysis
  • MSA
    • Precision & Accuracy
    • Bias, Linearity & Stability
    • Gage R&R
    • Variable & Attribute MSA
  • Process Capability
    • Capability Analysis
    • Stability Concept
    • Attribute Capability
    • Discrete Capability
    • Monitoring Techniques
  1. ANALYZING PHASE
  • Variation Patterns
    • Multi-Variable Analysis
    • Classes of Distributions
  • Inferential Statistics
    • Understanding Inference
    • Sampling
    • Sample Size
    • Central Limit Theorem
  • Hypothesis Testing
    • Hypothesis Testing Goals
    • Statistical Significance
    • Risk; Alpha & Beta
    • Types of Hypothesis Test
  • Hyp-Tests: Normal Data
    • One and Two Sample t-tests
    • One Sample Variance
    • One Way ANOVA
  • Hyp-Tests: Non-Normal Data
    • Mann-Whitney & Mood’s Median
    • Kruskal-Wallis
    • Moods Median
    • Friedman
    • 1 Sample Sign
    • 1 Sample Wilcoxon
    • 1 and 2 Proportion
    • Chi-Squared
    • Test of Equal Variances
  1. IMPROVING PHASE
  • Simple Linear Regression
    • Correlation
    • X-Y Diagram
    • Regression Equations
    • Residuals Analysis
  • Multiple Regression
    • Non-Linear Regression
    • Multiple Linear Regression
    • Confidence Intervals
    • Residuals Analysis
    • Box-Cox Transformation
    • Stepwise Regression
    • Logistic Regression
  • Designed Experiments
    • Experiment Objectives
    • Experimental Methods
    • DOE Considerations
  • Full Factorial Experiments
    • 2k Full Factorial Designs
    • Linear & Quadratic Models
    • Orthogonal Designs
    • Model & Center Points
  • Fractional Factorials
    • Designs
    • Confounding Effects
    • Experimental Resolution
  1. CONTROLLING PHASE
  • Lean Controls
    • Control Methods for 5S
    • Kanban
    • Poka-Yoke
  • SPC
    • Data Collection for SPC
    • I-MR Chart
    • Xbar-R Chart
    • U Chart
    • P Chart
    • NP Chart
    • X-S chart
    • CumSum Chart
    • EWMA Chart
    • Control Methods
    • Control Chart Anatomy
    • Variation & Sampling
    • Control Limits
  • Planning for Six Sigma Control
    • Cost Benefit Analysis
    • Control Plan Elements
    • Response Plan

 

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