A Quick Glance

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    Learn to manage excess waste and increase organisations productivity

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    Lean Six Sigma Black Belt Certification is recognized by major brands in all the industries

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    Not limited to just one particular industry

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    Certified Lean Six Sigma Instructors to teach the course

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    Learn from Global Training Providers

The organisations, today, seek to provide the best of services and products in a minimum time possible. To do so, it becomes a must that any kind of extra or unwanted processes must be removed. In Japanese terminology, these waste elimination processes are known as ‘muda’ which accomplishes the five tasks – sort, straighten, shine, standardise, sustain.

A Professional with a Lean Six Sigma Black Belt certification is one who provides these solutions at the highest level. A Lean Six Sigma Black Belt professional leads a group of Green Belt professionals to overcome any such processes and take the organisation forward. We at Pentagon, help the delegates by providing them with this course through the professionals who understand Lean Six Sigma thoroughly.

Who should take this course

Those professionals who want to improve their skills and have experience in managing Green Belt Projects can sit for the training where they will learn to manage more challenging and complex projects.

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Prerequisites

The delegates who wish to acquire this certification must already hold a Lean Six Sigma Practitioner Green Belt Certification. In order to get the certification, the candidates must come with a project that they are supposed to complete after the course is over.

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What Will You Learn

Having completed the Black Belt certification, the delegates will be familiar with the following concepts of Lean Six Sigma:

  • Define and Plan Projects for improvement including the developing charters.
  • Determining and managing stakeholder requirements.
  • Understand and improve the various qualitative and quantitative tools that are used to gauge and analyse business process.
  • Use  Lean principles to determine customer value, determine value streams, understand flow develop pull systems and ensure perfection.
  • Analyse, quantify and choose the most suitable solutions.
  • Control business processes and understand process change through the use of SPC and change management skills
  • Manage Green Belt projects and resources

 

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What's included

  Course Overview

Ever since World War II, Japan had been devising ways to bring about an economic boom targeted at its recovery. Japan had been following Kaizen business model for this purpose. In 1986, the United States came up with Six Sigma with its first implementation in Motorola Inc. In the 1990’s this was adopted by General Electric also and in the early years of the 21st Century, Six Sigma and Lean collaborated to bring about Lean Six Sigma.

Lean is a managerial concept that aims at reducing the seven kinds of waste while Six Sigma focuses on reducing processes variations of all sorts thereby helping to link the processes together tightly.

Lean Six Sigma provides various levels of certifications each providing the delegate with a higher understanding of Lean Six Sigma. These certifications are shown in the figure.

Lean Six Sigma

Those delegates who wish to sit for the exam they have taken some training from an authorised/accredited institute, or trainer, though this is not a prerequisite.Again, delegates wishing to sit for the exam must also have a real-world Lean Six Sigma project experience(this is also only recommended and not required).

On completion of the course and the exam, the delegates are certified by the International Association for Six Sigma Certification™ as Belk Belt Certified Professionals. The only third party Certification Association within the Lean Six Sigma Industry is the IASSC.

Exams

The Lean Six Sigma Black Belt Exam takes place during the second Friday afternoon at the end of the course. The Lean Six Sigma Black Belt Exam contains  150 questions. It a closed book proctored exam that lasts for 4-hours.

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  Course Content

  • Define Phase
    • The Basics of Six Sigma
      • Meanings of Six Sigma
      • General History of Six Sigma & Continuous Improvement
      • Deliverables of a Lean Six Sigma Project
      • The Problem Solving Strategy Y = f(x)
      • Voice of the Customer, Business and Employee
      • Six Sigma Roles & Responsibilities
    • The Fundamentals of Six Sigma
      • Defining a Process
      • Serious Quality Characteristics (CTQ’s)
      • Poor Quality Cost
      • The Pareto Analysis (80:20 rule)
      • Six Sigma - Measurement Standards
    • Selecting Lean Six Sigma Projects
      • Building a Business Case & Project Charter
      • Developing Project Metrics
      • Financial Evaluation & Benefits Capture
    • Understanding The Lean Enterprise
      • Lean – An Understanding and its History
      • The Combination of Lean & Six Sigma
      • The Seven Waste Elements
      • 5S
        • Straighten, Shine, Standardise, Self-Discipline, Sort
  • Measure Phase
    • Process Definition
      • Cause & Effect / Fishbone Diagrams
      • Process Mapping, SIPOC, Value Stream Map
      • X-Y Diagram
      • Failure Modes & Effects Analysis (FMEA)
    • Six Sigma Statistics
      • Basic Statistics
      • Descriptive Statistics
      • Normal Distributions & Normality
      • Graphical Analysis
    • Measurement System Analysis
      • Precision & Accuracy
      • Bias, Linearity & Stability
      • Gage Repeatability & Reproducibility
      • Variable & Attribute MSA
    • Process Capability
      • Capability Analysis
      • Concept of Stability
      • Attribute & Discrete Capability
      • Monitoring Techniques
  • Analyze Phase
    • Patterns of Variation
      • Multi-Vari Analysis
      • Classes of Distributions
    • Inferential Statistics
      • Understanding Inference
      • Sampling Techniques & Uses
      • Central Limit Theorem
    • Hypothesis Testing
      • General Concepts & Goals of Hypothesis Testing
      • Significance; Practical vs. Statistical
      • Risk; Alpha & Beta
      • Types of Hypothesis Test
    • Hypothesis Testing with Normal Data
      • 1 & 2 sample t-tests
      • 1 sample variance
      • One Way ANOVA
    • Hypothesis Testing with Non-Normal Data
      • Mann-Whitney
      • Kruskal-Wallis
      • Mood’s Median
      • Friedman
      • 1 Sample Sign
      • 1 Sample Wilcoxon
      • One and Two Sample Proportion
      • Chi-Squared (Contingency Tables)
  • Improve Phase
    • Simple Linear Regression
      • Correlation
      • Regression Equations
      • Residuals Analysis
    • Multiple Regression Analysis
      • Non- Linear Regression
      • Multiple Linear Regression
      • Confidence & Prediction Intervals
      • Residuals Analysis
      • Data Transformation, Box-Cox
    • Designed Experiments
      • Experiment Objectives
      • Experimental Methods
      • Experiment Design Considerations
    • Full Factorial Experiments
      • 2k Full Factorial Designs
      • Linear & Quadratic Mathematical Models
      • Balanced & Orthogonal Designs
      • Fit, Diagnose Model and Center Points
    • Fractional Factorial Experiments
      • Designs
      • Confounding Effects
      • Experimental Resolution
  • Control Phase
    • Lean Controls
      • Control Methods for 5S
      • Kanban
      • Poka-Yoke (Mistake Proofing)
    • Statistical Process Control (SPC)
      • Data Collection for SPC
      • I-MR Chart
      • Xbar-R Chart
      • U Chart
      • P Chart
      • NP Chart
      • Xbar-S Chart
      • CumSum Chart
      • EWMA Chart
      • Control Methods
      • Control Chart Anatomy
      • Subgroups, Impact of Variation, Frequency of Sampling
      • Center Line & Control Limit Calculations
    • Six Sigma Control Plans
      • Cost Benefit Analysis
      • Elements of the Control Plan
      • Elements of the Response Plan
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Reach us at +44 1344 961530 or info@pentagonit.co.uk for more information.

About York

York is a historic walled city at the meeting point of the rivers Ouse and Foss in North Yorkshire, England. The municipality is the old county town of Yorkshire to which it gives its name. The city has a rich legacy and has provided the venue for main political events in the UK throughout much of its two millennia of existence. The city offers a number of the wealth of historical attractions, of which York Minster is the most prominent, and diversity in cultural and sporting activities making it a popular tourist destination for millions.

In the 19th century, York became a centre of a confectionery manufacturing centre and the railway network. In recent decades, the York’s economy has risen from being dominated by its confectionery and railway-related industries to one that provides services.

Early history

Archaeological evidence recommends that Mesolithic people settled in the area of York between 8000 and 7000 BC, although it is not recognized whether their settlements were temporary or permanent. By the time of the Roman conquest of Britain, the area was occupied by a tribe known to the Romans as the Brigantes.

Governance

Parliamentary constituencies

From the year 1997 to 2010 the central part of the district was covered by the City of York constituency, while the remaining was divided between the constituencies of Ryedale, Selby, and Vale of York. These constituencies were represented by  John Grogan, Hugh Bayley, John Greenway and Anne McIntosh respectively.

Demography

The population of the York urban area was a 137,505 with 66,142 males and 71,363 females in 2001. The urban population was increased to 153,717 at the time of 2011 UK census. Also at the time of the  UK census in 2001, the City of York had a total population of 181,094 which includes 93,957 were female, and male were 87,137. Of the 76,920 households in York, married couples living together were 36.0%, one-person households were 31.3%, Cohabiting couples were 8.7%, and 8.0% were lone parents.

Economy

York's economy is depended on the service industry, which in 2000 was responsible for 88.7% of employment in the city. The service industries include education, health,  finance, information technology (IT), public sector employment,  and tourism that provides 10.7% of employment.

 

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