training Introduction

Performance is the most valuable asset of a company. While driving a project, there is the wasteful use of time as well as resources. There is a need of management methodology that can entirely remove waste and decrease variations from the project environment. The Lean approach is based on removing waste because of workload unevenness while the Six Sigma is known for eliminating waste due to process variation.

The course is proposed to offer the skillset of Lean as well as Six Sigma. The delegates can acquire proficiency in Lean Six Sigma by learning both the methodologies collaboratively. This course provides the knowledge of Lean and Six Sigma concepts with proficiency in how to plan, implement, recognize and apply those concepts. After completing the course, the delegates will become Black Belts and perform to lead projects in their organizations.

      The DMAIC Method

  • Perform to lead projects in the organizations

  • Be the Certified Black Belts

  • Get the higher earning potential with Lean Six Sigma Black Belt status

  • Guaranteed best price in the industry

trainingCourse Details

The Lean Six Sigma Black Belt course provides the expertise in phase implementation of a business process. It empowers delegates to deploy skills in enterprise-wide projects. After completing this Lean Six Sigma training, the candidates will be able to help a company in achieving the desired objectives.

EXAM:

The delegate must have to pass the following three examinations with passing marks (70 out of 100) in each case:

An Overview of Lean Six Sigma

  • The Six Sigma Basics
    • Meaning of Six Sigma
    • 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
    • Defining a Process
    • Critical to Quality Characteristics (CTQ’s)
    • Cost of Poor Quality (COPQ)
    • Pareto Analysis (80:20 rule)
    • Basic Six Sigma Metrics
    • Such as  DPU, DPMO, FTY, RTY Cycle Time; driving these metrics

Define Phase

  • How To Select Lean Six Sigma Project?
    • 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, Standardize, 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
  • Measuring 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

trainingLean Six Sigma Black Belt Schedules

Course Name Duration Dates Price
Lean Six Sigma Black Belt 10 days Birmingham
23-10-2017
Lean Six Sigma Black Belt 10 days Belfast
23-10-2017
Lean Six Sigma Black Belt 10 days Aberdeen
23-10-2017
Lean Six Sigma Black Belt 10 days Liverpool
23-10-2017
Lean Six Sigma Black Belt 10 days London
30-10-2017
Lean Six Sigma Black Belt 10 days Manchester
30-10-2017
Lean Six Sigma Black Belt 10 days Bristol
30-10-2017
Lean Six Sigma Black Belt 10 days Glasgow
30-10-2017
Lean Six Sigma Black Belt 10 days Newcastle
30-10-2017
Lean Six Sigma Black Belt 10 days London
06-11-2017

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