Lean Six Sigma Certification

Lean Six Sigma Certification

Lean training programmes delivered by StrEdge are designed to inculcate Lean thinking and create a mindset of continuous improvement within employees. It will garner enhanced customer value creation, increase in revenue, optimum cost, improved resource utilization and mitigation of risks. Lean thinking will elevate the level of staff engagement in delivering improvements leading to business and operational excellence.

The scope of the Lean Belt training will consist of tools needed to identify process waste, develop solutions, project implementation and reporting. The projects will create quick, tangible and sustainable wins for the organization. StrEdge Lean facilitators have hands-on working experience in lean transformation and lean belt certifications.

Delivery method

Multiple workshops, mentoring, project management support, creating structure and team to facilitate long term Lean culture, monitor and measure success etc.

About The Service

Key objectives of Lean Belt certifications:

  • Facilitating and mentoring employees on implementing lean projects which will result in quantifiable benefits for the organization.
  • Developing competency and skills in participants to strengthen the in-house resource pool in terms of lean thinking.
  • Creating the foundation for organizational lean culture through lean belt certification.
  • Creating a Lean Academy – The StrEdge lean belt training will also set the foundation to establish a Lean Academy within the organization for sustainable results through lean practices.

Content

1.0 Define Phase
1.1 The Basics 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)List Item
  • 1.1.5 Voice of the Customer, Business and Employee
  • 1.1.6 Six Sigma Roles & Responsibilities
  • 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
  • 1.2.5.a. including DPU, DPMO, FTY, RTY Cycle Time; deriving these metrics
  • 1.3.1 Building a Business Case & Project Charter
  • 1.3.2 Developing Project Metrics
  • 1.3.3 Financial Evaluation & Benefits Capture
  • 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
  • 1.4.5.a. Straighten, Shine, Standardize, Self-Discipline, Sort
2.1 Process Definition
  • 2.1.1 Cause & Effect / Fishbone Diagrams/5 Whys/DILO
  • 2.1.2 Process Mapping, SIPOC, Value Stream Map
  • 2.1.3 X-Y Diagram
  • 2.1.4 Failure Modes & Effects Analysis (FMEA)
  • 2.2.1 Basic Statistics
  • 2.2.2 Descriptive Statistics
  • 2.2.3 Normal Distributions & Normality
  • 2.2.4 Graphical Analysis
  • 2.3.1 Precision & Accuracy
  • 2.3.2 Bias, Linearity & Stability
  • 2.3.3 Gage Repeatability & Reproducibility
  • 2.3.4 Variable & Attribute MSA
  • 2.4.1 Capability Analysis
  • 2.4.2 Concept of Stability
  • 2.4.3 Attribute & Discrete Capability
  • 2.4.4 Monitoring Techniques
3.1 Patterns of Variation
  • 3.1.1 Multi-Vari Analysis
  • 3.1.2 Classes of Distributions
  • 3.2.1 Understanding Inference
  • 3.2.2 Sampling Techniques & Uses
  • 3.2.3 Central Limit Theorem
  • 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
  • 3.4.1 1 & 2 Sample T-tests
  • 3.4.2 1 Sample Variance
  • 3.4.3 One Way ANOVA
  • 3.4.4 a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
  • 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
  • 3.5.7 One and Two Sample Proportion
  • 3.5.8 Chi-Squared (Contingency Tables)
  • 3.5.8.a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results.
4.1 Simple Linear Regression
  • 4.1.1 Correlation
  • 4.1.2 Regression Equations
  • 4.1.3 Residuals 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
  • 4.3.1 Experiment Objectives
  • 4.3.2 Experimental Methods
  • 4.3.3 Experiment Design Considerations
  • 4.4.1 2k Full Factorial Designs
  • 4.4.2 Linear & Quadratic Mathematical Models
  • 4.4.3 Balanced & Orthogonal Designs
  • 4.4.4 Fit, Diagnose Model and Center Points
  • 4.5.1 Designs
  • 4.5.2 Confounding Effects
  • 4.5.3 Experimental Resolution
5.1 Lean Controls
  • 5.1.1 Control Methods for 5S
  • 5.1.2 Kanban
  • 5.1.3 Poka-Yoke (Mistake Proofing)
  • 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 X-S chart
  • 5.2.8 CumSum Chart
  • 5.2.9 EWMA Chart
  • 5.2.10 Control Methods
  • 5.2.11 Control Chart Anatomy
  • 5.2.12 Subgroups, Impact of Variation, Frequency of Sampling
  • 5.2.13 Center Line & Control Limit Calculations
  • 5.3.1 Cost Benefit Analysis
  • 5.3.2 Elements of the Control Plan
  • 5.3.3 Elements of the Response Plan

We'd Love To Hear From You

Contact Us

Find us Here

  • 16, Malalasekera Mawatha , Colombo 7

Get In touch

Opening Hours

  • Mon- Fri: 9am- 5pm