Black Belt Six Sigma | Pentagon Training

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Course Details
Course Content
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As the competition has increased, there was a sudden need to emphasise on time-cycle improvement in businesses and reduce manufacturing defects to a minimum level. The necessity to retain clients and sustain business products and services was also an emerging issue.

With the efforts of Motorola in 1986, the Six Sigma technique was developed to reduce the defects to a minimum level of 3.4 per million. The defects are found first and then focuses on reducing all the errors in a short span of time along with improved variability in manufacturing and business processes. Pentagon Training will help delegates to get out of these pre-defined paths and achieve Six Sigma levels which range from white to black belt.

Who should take this course

The following category of professionals are included in the course list who can get benefit from taking the course:

Companies and their managements for implementing Six Sigma.
Project Managers to complete projects of extreme importance.
Quality Assurance Engineers to explore and improve the quality.
Team members of Software Quality Assurance.
Audit managers to manage reviews of various companies.
Security professionals to implement policies judicially.
Senior Management for the purpose of managing the tasks efficiently.
Management students for learning the benefits of using various methodologies.
Team leaders for supervising the teams correctly.
Software Professionals to develop high-quality software after applying techniques to manage variability.

Prerequisites

Certain requirements should be fulfilled before becoming the Six Sigma Black Belt professional and get six sigma certification. These include:

Delegates require carrying two complete projects with signed affidavits, or
One whole project with a signed affidavit and three years of work experience in one or more areas of the Six Sigma Black Belt body of knowledge.

What Will You Learn

Once the course is complete delegates will become familiar with fundamentals of Six Sigma Black Belt and how to apply it to the business processes.

Accomplish the team dynamics efficiently and at a faster pace.
Concluding projects and handling over control to process owners.
Presenting these projects to instructors, peers and managers.
Measuring various problems for achieving project success.
Applying different Lean concepts like 5S, waste reduction, process mapping, value stream mapping and mistake proofing.
Understand the working with multiple levels of leadership.
Read advanced statistical analyses to define the relationship between the primary inputs and process outputs and apply more basics to it.
Using various controlling techniques for cost benefit analysis

Courseware

Certificate

Exam(s) included

Pre Course Material

Tutor Support

Refreshment

Key Learning Points

Course Overview

Six Sigma relates to an ideology of improvement in several statistics which forms a part of business process. According to Six Sigma, qualitative extents should take a step forward for getting over qualitative indicators. It will help in achieving the credibility that supports and enhances the work performances by different employees.

It applies to all industries and vendors who want to attain elevation in various belts of Six Sigma. Six Sigma experts include all those business people who use statistics, financial analysis and project management for achieving improved business functions.

It supports the creation of a unique infrastructure of individuals who are expert in applying the set of quality control methods like empirical method and statistical method. The Six Sigma professional follows a series of steps with the complete consignment of specific value objectives to each step.

Exam Info:

Exam Type: Multiple Choice Question

Duration: 90 minutes

Pass Percentage: 45

Course Content

The following details are included in the course content and will enable the delegates to upgrade their level of learning:

1. DEFINING PHASE

Overview of Six Sigma
- What is Six Sigma?
- History of Six Sigma
- Y = f(x) Approach
- Methodology
- Roles & Responsibilities
Fundamentals of Six Sigma
- Define 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
- The Seven Deadly Muda
- Five-S (5S)

2. MEASURING PHASE

Process Definition
- Cause & Effect Diagrams
- Cause & Effects Matrix
- Process Mapping
- FMEA
- Theory of Constraints
Process Capability
- Analysis of Capability
- Stability Concept
- Attribute Capability
- Discrete Capability
- Monitoring Techniques
MSA
- Precision & Accuracy
- Bias, Linearity & Stability
- Gage R&R
- Variable & Attribute MSA
Six Sigma Statistics
- Basic Statistics
- Descriptive Statistics
- Distributions & Normality
- Graphical Analysis

3. 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

4. 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
- Research 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
- Preliminary Resolution

5. 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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About Chester

Chester is a city in Cheshire, England. it is the most populous city of the Cheshire West and Chester with 332,200 population. It is the supreme populous settlement of Cheshire West and Chester, which had a population of 332,200 in 2014. Chester was initially considered as a Castrum or Roman fort with the name Deva Victrix.

Governance:

Chester is an unparished region within the unitary power of Cheshire West and Chester. A small area around Chester Castle scraps a civil community of Chester Castle. The Member of Parliament for the City of Chester is Chris Matheson, chosen in 2015.

Geography:

Chester deceits at the southern end of a 2-mile (3.2 km) Triassic sandstone edge that increases to a height of 42 m within a natural S-bend in the River Dee. The bedrock, which is also recognised as the Chester Pebble Beds, is perceptible because of the many small stones stuck within its layers. Receding glacial sheet ice also placed amounts of sand and marl across the area where boulder clay was inattentive.

The eastern and northern part of Chester contained heathland and forest. The western side towards the Dee Estuary was marsh and wetland homes.

Climate:

Chester has an oceanic weather. Even with its nearness to the Irish Sea, the temperature system is similar to areas further inland, owing to the shelter delivered by the Pennines to the northeast and the Welsh Mountains to the south-west. The nearest official weather station is at Hawarden Airport, about 4 miles (6.4 km) west of the city Centre.

The absolute supreme temperature recorded was 35.2 °C for the period of August 1990. In an average year, the warmest day should reach 29.3 °C.